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repocritics

repocritics-mcp-server

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by repocritics

get_repo

Retrieve comprehensive metadata and community scores for a single open-source repository, including stars, forks, license, topics, and critic/audience ratings.

Instructions

Fetch metadata + scores for one repo (canonical_url, description, stars, forks, license, topics, critics_score, audience_score, final_score, category, staleness).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
ownerYes
platformYese.g. "github", "gitlab".
Behavior3/5

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

The description conveys a read-only operation via the verb 'Fetch' and lists the output fields, which is transparent about what data is returned. However, with no annotations provided, the description carries the full burden for behavioral disclosure, yet it does not mention authentication, error behavior (e.g., if repo not found), or rate limits. It meets a baseline but leaves gaps.

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 a single, well-structured sentence that front-loads the main purpose ('Fetch metadata + scores for one repo') and then enumerates the specific fields returned. It is concise, contains no redundant or filler words, and every element adds value.

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?

For a simple fetch tool with three parameters and no output schema, the description adequately covers the return values by listing all key fields. It does not discuss edge cases like missing repos or auth, but given the tool's simplicity, the description is largely complete for an AI agent to understand what to expect.

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

Parameters2/5

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

Schema description coverage is low (33%), with only 'platform' having a description. The tool description does not clarify the 'owner' or 'name' parameters, nor does it add any detail about how the parameters should be formatted or their meaning beyond the schema. It fails to compensate for the low 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 uses a specific verb ('Fetch') with a clear resource ('metadata + scores for one repo'), explicitly scoping to a single repository. It distinguishes from siblings like search_repos by indicating this tool targets one specific repo rather than searching across many, and it lists the concrete fields returned.

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: when you need details for a specific repo, use get_repo. However, it does not explicitly state when to use this tool versus siblings like search_repos or get_wiki, nor does it mention any exclusions or prerequisites. The guidance is implicit rather than explicit.

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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