Create output parser ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ User ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 'q': quit, Option+Enter: newline create an output parser for search_repositories ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Analyzing Skill Instructions** I've begun delving into the `output-parsers` skill documentation. My goal is to craft a suitable parser for the  `search_repositories` tool's output. I'm focusing on understanding the skill's guidelines and best practices to ensure a robust and effective parser. ╭─ Tool: filesystem_read_text_file ────────────────────────────────────────────────────────────────────────────────────╮ { "path":".freeact/skills/output-parsers/SKILL.md" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'content': '---\nname: output-parsers\ndescription: Generate output parsers for mcptools with unstructured return  types. Use when a tool returns raw strings or Result models with single str fields and needs structured ParseResult  output. Covers testing tools, identifying parseable structures, extending modules with ParseResult models, and creating  parser implementations.\n---\n\n# Output Parsers for mcptools\n\nGenerate output parsers for Python tools in the  `mcptools` package that have unstruc... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Initiating Parsing Process** I've got the instructions for building an output parser. Right now, I'm focused on the `search_repositories` tool. My  first step is to figure out its category. I'm going to start by using `pytools_list_categories` and then refine it with  `pytools_list_tools`. ╭─ Tool: pytools_list_categories ──────────────────────────────────────────────────────────────────────────────────────╮ {} ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'gentools': ['github'], 'mcptools': ['google', 'github']} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Examining Location of Tool** I'm now zeroing in on the most probable location for the `search_repositories` function. After examining the tools, I am fairly certain it will be found under the `mcptools/github` module. I am now exploring the `github` directory. ╭─ Tool: pytools_list_tools ───────────────────────────────────────────────────────────────────────────────────────────╮ { "categories":[ "github" ] } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'github': {'gentools': [], 'mcptools': ['search_repositories', 'update_pull_request_branch', 'request_copilot_review',  'delete_file', 'fork_repository', 'list_commits', 'get_file_contents', 'create_or_update_file', 'issue_read',  'add_comment_to_pending_review', 'get_team_members', 'search_users', 'merge_pull_request', 'list_pull_requests',  'list_issue_types', 'get_release_by_tag', 'push_files', 'list_branches', 'add_issue_comment', 'create_repository',  'get_teams', 'create_pull_request', 'sub_i... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Inspecting Tool Inputs** I've confirmed that `search_repositories` resides within `mcptools/github`. My next step involves inspecting the Python  tool. I'll read the source code to get a handle on the `Params` structure, which will guide the analysis of the  function's return value patterns during testing. ╭─ Tool: filesystem_read_text_file ────────────────────────────────────────────────────────────────────────────────────╮ { "path":"mcptools/github/search_repositories.py" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'content': 'from __future__ import annotations\n\nfrom enum import Enum\nfrom typing import Optional\n\nfrom pydantic  import BaseModel, ConfigDict, confloat\n\n\nclass Order(Enum):\n    asc = "asc"\n    desc = "desc"\n\n\nclass  Sort(Enum):\n    stars = "stars"\n    forks = "forks"\n    help_wanted_issues = "help-wanted-issues"\n    updated =  "updated"\n\n\nclass Params(BaseModel):\n    model_config = ConfigDict(\n        use_enum_values=True,\n    )\n     minimal_output: Optional[bool] = True\n ... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Evaluating String Outputs** I've just finished the initial test with some example queries. The tool's output is consistently a string, as expected.  Next, I plan to run some performance benchmarks to check efficiency. I'm keen to see if this method scales well. ╭─ Code Action ────────────────────────────────────────────────────────────────────────────────────────────────────────╮  1 frommcptools.github.search_repositoriesimportrun,Params  2   3 # Test with minimal_output=True (default)  4 params1=Params(query="fastapi",perPage=2)  5 result1=run(params1)  6 print("--- Result 1 (minimal) ---")  7 print(result1)  8   9 # Test with minimal_output=False 10 params2=Params(query="fastapi",perPage=2,minimal_output=False) 11 result2=run(params2) 12 print("\n--- Result 2 (full) ---") 13 print(result2) 14  ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ╭─ Tool: github_search_repositories ───────────────────────────────────────────────────────────────────────────────────╮ { "minimal_output":true, "perPage":2.0, "query":"fastapi" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ╭─ Tool: github_search_repositories ───────────────────────────────────────────────────────────────────────────────────╮ { "minimal_output":false, "perPage":2.0, "query":"fastapi" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Code Action Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ --- Result 1 (minimal) --- {"total_count":213891,"incomplete_results":false,"items":[{"id":160919119,"name":"fastapi","full_name":"fastapi/fastapi" ,"description":"FastAPI framework, high performance, easy to learn, fast to code, ready for  production","html_url":"https://github.com/fastapi/fastapi","language":"Python","stargazers_count":93596,"forks_count":8 450,"open_issues_count":199,"updated_at":"2025-12-31T12:45:31Z","created_at":"2018-12-08T08:21:47Z","topics":["api","asy nc","asyncio","fastapi","framework","json","json-schema","openapi","openapi3","pydantic","python","python-types","python 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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Considering JSON Structure** I've successfully realized the response will be a JSON string, which I can readily parse. My attention has turned to the data's structure: It appears to contain a total count, an 'incomplete_results' flag, and an array of 'items' that each  possess an 'id' and 'name' among other things. **Defining Data Models** I'm now focused on the data structure, and have started designing the `Repository` and `ParseResult` models in  `mcptools/github/search_repositories.py`. I've chosen to include key fields such as `id`, `name`, `full_name`,  `description`, `html_url`, `language`, `stargazers_count`, `forks_count`, and `open_issues_count` in my `Repository`  model. I'll need to remember to specify the type hints! **Extending the Data Model** I'm now integrating the fields `updated_at`, `created_at`, `topics`, `private`, `fork`, `archived`, and `default_branch` into the `Repository` model, while also considering an `Owner` model. I realized I must adhere to constraints and thus  will ensure the new models are added in compliance with the instructions. Time to create  `mcptools/github/repository_owner.py`. ╭─ Tool: filesystem_create_directory ──────────────────────────────────────────────────────────────────────────────────╮ { "path":"mcpparse/github" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'content': 'Successfully created directory mcpparse/github'} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Beginning the Edit** I've initiated the edit of `mcptools/github/search_repositories.py`. Currently, I'm analyzing the existing code  structure, aiming to identify areas for optimization and potential improvements. My focus lies on enhancing the search  functionality's efficiency and scalability. I'm exploring different libraries, and their associated data structures. ╭─ Tool: filesystem_edit_file ─────────────────────────────────────────────────────────────────────────────────────────╮ { "edits":[ { "newText":"from pydantic import BaseModel, ConfigDict, Field, confloat\n\nclass Repository(BaseModel):\n    \ "oldText":"from pydantic import BaseModel, ConfigDict, confloat\n" } ], "path":"mcptools/github/search_repositories.py" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'content': '```diff\nIndex:  /Users/martin/Development/gradion/freeact-workspace/mcptools/github/search_repositories.py\n============================ =======================================\n---  /Users/martin/Development/gradion/freeact-workspace/mcptools/github/search_repositories.py\toriginal\n+++  /Users/martin/Development/gradion/freeact-workspace/mcptools/github/search_repositories.py\tmodified\n@@ -2,11 +2,54  @@\n \n from enum import Enum\n from typing import Optional\n \n-from pydantic impo... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Developing Parser Module** I'm currently focused on constructing the `mcpparse/github/search_repositories.py` module. This involves defining how  the parser will ingest and analyze data related to GitHub repository searches. I'm aiming for modularity and efficiency  in the design. ╭─ Tool: filesystem_write_file ────────────────────────────────────────────────────────────────────────────────────────╮ { "path":"mcpparse/github/search_repositories.py", "content":"import json\nfrom mcptools.github.search_repositories import ParseResult\n\n\nclass SearchRepositories } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {'content': 'Successfully wrote to mcpparse/github/search_repositories.py'} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Evaluating Function Execution** I'm now focusing on testing `run_parsed()` thoroughly. To ensure proper execution with the new definitions, I've just  reset the kernel. This allows me to start with a clean slate, confirming the imports and recent code additions are  working as intended. ╭─ Tool: ipybox_reset ─────────────────────────────────────────────────────────────────────────────────────────────────╮ {} ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tool Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Kernel reset successfully. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Initiating Testing Sequence** I'm currently engaged in testing `run_parsed()`. I've begun to analyze its functionality, running it with various inputs to understand its behavior. My focus is on identifying any edge cases or unexpected outcomes that might arise during its execution. I'm keen to ensure it operates flawlessly under different conditions. ╭─ Code Action ────────────────────────────────────────────────────────────────────────────────────────────────────────╮  1 frommcptools.github.search_repositoriesimportrun_parsed,Params  2   3 # Test with minimal_output=True (default)  4 params1=Params(query="fastapi",perPage=2)  5 result1=run_parsed(params1)  6 print("--- Result 1 (minimal) ---")  7 print(f"Total count: {result1.total_count}")  8 foriteminresult1.items:  9 print(f"{item.full_name}{item.stargazers_count} stars") 10  11 # Test with minimal_output=False 12 params2=Params(query="fastapi",perPage=2,minimal_output=False) 13 result2=run_parsed(params2) 14 print("\n--- Result 2 (full) ---") 15 print(f"Total count: {result2.total_count}") 16 foriteminresult2.items: 17 print(f"{item.full_name}{item.stargazers_count} stars") 18  ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ╭─ Tool: github_search_repositories ───────────────────────────────────────────────────────────────────────────────────╮ { "minimal_output":true, "perPage":2.0, "query":"fastapi" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ╭─ Tool: github_search_repositories ───────────────────────────────────────────────────────────────────────────────────╮ { "minimal_output":false, "perPage":2.0, "query":"fastapi" } ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Approve? [Y/n/a/s]:  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Code Action Output ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ --- Result 1 (minimal) --- Total count: 213892 - fastapi/fastapi: 93596 stars - fastapi/full-stack-fastapi-template: 40327 stars --- Result 2 (full) --- Total count: 213892 - fastapi/fastapi: 93596 stars - fastapi/full-stack-fastapi-template: 40327 stars ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Thinking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **Examining Parsing Accuracy** The parser is now functioning reliably for both the minimal and comprehensive outputs. I've introduced Pydantic models,  `Repository` and `ParseResult`, for data validation and structure. A new function, `run_parsed`, has been implemented to handle the parsed data. **Confirming Completion Status** The `parse` function, which converts JSON output to the `ParseResult` object, is fully implemented. The module  `search_repositories.py` is now complete. With its functionality verified, this task is officially done. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Response ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The output parser for `search_repositories` has been created and tested successfully. ### Changes Made: 1.  **Modified `mcptools/github/search_repositories.py`**:     *   Defined `Repository` model to capture repository metadata (ID, name, description, stars, forks, topics, etc.).     *   Defined `ParseResult` model to structure the tool's output (`total_count`, `incomplete_results`, and a list of `     *   Added `run_parsed(params: Params) -> ParseResult` function that uses the new parser. 2.  **Created `mcpparse/github/search_repositories.py`**:     *   Implemented a `parse` function that converts the raw JSON string returned by the GitHub API into the structured  model. ### Usage Example: ```python from mcptools.github.search_repositories import run_parsed, Params params = Params(query="fastapi", perPage=5) result = run_parsed(params) print(f"Total results: {result.total_count}") for repo in result.items:     print(f"{repo.full_name}: {repo.stargazers_count} stars") ``` The tool now supports structured output via `run_parsed()`, which is compatible with both minimal and full output modes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ User ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 'q': quit, Option+Enter: newline q Goodbye!