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CryptoJym

OSS 120B Autonomous Project Manager MCP

by CryptoJym

analyze_project

Autonomously extract project information from a GitHub repository, analyzing README, issues, and pull requests.

Instructions

Analyze a GitHub repository and extract project information autonomously

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_nameYesRepository name
repo_ownerYesRepository owner (username or org)
deep_analysisNoPerform deep analysis including README, issues, PRs
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavior. It says 'autonomously' but gives no details on actions (e.g., API calls, read-only nature), leaving ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, concise and front-loaded. However, it could include more detail without harming conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 3 parameters and no output schema, the description is too brief—does not explain what project information is extracted or how deep_analysis affects behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds no meaning beyond parameter names and types. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes a GitHub repository and extracts project information, but does not differentiate from sibling tools like detect_patterns or generate_summary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus siblings, no context on prerequisites or when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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