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gztchan

ossinsight-mcp

by gztchan

list_trending_repos

Discover trending GitHub repositories by time period and programming language to identify popular open-source projects.

Instructions

List trending repositories from OSS Insight.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNopast_week
languageNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('list trending repositories') but does not disclose any behavioral traits such as rate limits, authentication needs, pagination, or what 'trending' means (e.g., based on stars, activity). This leaves significant gaps in understanding how the tool behaves in practice.

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, efficient sentence that directly states the tool's purpose without any fluff. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly, with every word earning its place.

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?

Given the complexity (a listing tool with parameters and no output schema) and the lack of annotations, the description is incomplete. It does not explain what 'trending' entails, how results are returned, or any limitations, leaving the agent with insufficient context to use the tool effectively beyond basic invocation.

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 description adds no meaning beyond what the input schema provides. With 0% schema description coverage, the schema alone documents the parameters (period with enum values, language as string), but the description does not explain what these parameters do (e.g., how 'period' affects trending, what 'language' filters). This results in a baseline score of 3, as the schema handles parameter documentation adequately but the description fails to compensate for the low coverage.

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 verb 'list' and the resource 'trending repositories from OSS Insight', which is specific and actionable. However, it does not distinguish this tool from its many siblings (e.g., list_collection_repositories, list_hot_collections), which also list repositories or collections from the same source, leaving some ambiguity about when to choose this particular tool.

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?

The description provides no guidance on when to use this tool versus alternatives. With multiple sibling tools like list_collection_repositories and list_hot_collections that might overlap in functionality, the absence of explicit when-to-use or when-not-to-use instructions leaves the agent without clear direction, relying solely on the tool name for inference.

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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