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devkamani9313-lab

open-source-contribution-mcp-server

analyze_repo_context

Analyzes a GitHub repository to extract contribution guidelines, linter configs, test frameworks, and recent merged PRs for informed contributions.

Instructions

Mandatory repo analysis: reads CONTRIBUTING guidelines, linter configs, test frameworks, and recent merged PRs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesRepository name in "owner/repo" format (e.g. "facebook/react")
Behavior3/5

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

With no annotations, the description carries the full burden. It reveals that the tool performs read operations on specific sources, but it does not disclose return format, error handling, or any potential side effects. The term 'Mandatory' hints at a behavioral gate but lacks clarity.

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?

The description is a single, front-loaded sentence that efficiently lists what is read. The word 'Mandatory' is slightly vague but does not add unnecessary length.

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?

The tool has no output schema and no annotations, so the description must explain the result or effect. It only says 'reads' without indicating what is returned or why it is mandatory. This leaves the agent uncertain about the tool's outcome.

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?

The input schema provides a complete description for the 'repo' parameter, including format and example. The tool description adds no parameter-specific meaning, so the baseline of 3 is appropriate given 100% schema coverage.

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

Purpose5/5

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

The description states a specific action: reads four types of repo context. This clearly distinguishes it from sibling tools like get_user_skills, find_issues, and generate_code_fix.

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

Usage Guidelines3/5

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

The word 'Mandatory' implies the tool is a required prerequisite, but the description does not explicitly state when to use it versus alternatives or when not to use it. It provides only vague implication of required usage.

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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