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get_repository_details

Retrieve comprehensive GitHub repository metadata including topics, README content, issue counts, creation dates, and homepage URLs for deep project analysis.

Instructions

Gets detailed information about a specific repository including full metadata, topics, README content, open issues count, creation date, and homepage URL. Useful for deep-diving into a particular project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repository_nameYesName of the repository (e.g., "GitInsight-MCP")
use_cacheNoWhether to use cached data (default: true)
include_readmeNoInclude README content in the response (default: false)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions what information is returned (metadata, topics, README, etc.), which adds context beyond the input schema. However, it doesn't disclose behavioral traits like rate limits, authentication needs, error handling, or whether it's a read-only operation (though 'Gets' implies safe read).

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

Conciseness5/5

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

The description is two sentences, front-loaded with the core purpose and specific details, followed by a usage hint. Every sentence adds value without redundancy, making it efficient and easy to parse.

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

Completeness4/5

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

Given no annotations and no output schema, the description does a good job explaining what the tool returns and its purpose. It covers the tool's scope well, but could improve by adding more behavioral context (e.g., read-only nature, potential errors) to compensate for the lack of structured data.

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

Parameters4/5

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

Schema description coverage is 100%, so the schema fully documents all parameters. The description adds value by implying the scope of information retrieved (e.g., 'including full metadata, topics, README content'), which helps contextualize the parameters' effects, but doesn't provide additional syntax or format details beyond the schema.

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 clearly states the verb 'Gets' and resource 'detailed information about a specific repository', with specific examples of what's included (metadata, topics, README, etc.). It distinguishes from siblings like 'list_repositories' (which lists multiple) and 'get_repository_stats' (which might focus on statistics rather than comprehensive details).

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 description implies usage for 'deep-diving into a particular project', suggesting it's for detailed analysis rather than overviews. However, it doesn't explicitly state when to use this vs. alternatives like 'get_repository_stats' or 'list_repositories', nor does it mention prerequisites or exclusions.

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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