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Crawlora MCP

github_trending

Read-only

GitHub trending repositories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoTime window: daily, weekly, or monthly.
languageNoProgramming language filter (e.g. go, python).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond the name: it does not say what the trending list is based on, whether results are limited in count, or how the since/language filters interact. Adding zero context over the annotations warrants a low score.

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

Conciseness3/5

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

A single four-word phrase is free of padding and front-loaded, but it is under-specified rather than concise and leaves obvious questions unanswered. No structural problems, just too little content.

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

Completeness3/5

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

An output schema exists, so return values need not be described, and schema coverage is complete for both optional parameters. For a simple two-param read tool this is minimally viable, though the absence of any sibling disambiguation or filtering context keeps it short of complete.

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 description coverage is 100% – both since (daily/weekly/monthly) and language are fully documented in the schema, so the baseline is 3. The description contributes no additional parameter meaning, such as default values or accepted language spellings.

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

Purpose3/5

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

"GitHub trending repositories" names the resource clearly enough that an agent knows it returns a trending list, but it is a bare noun phrase with no verb and no differentiation from the sibling github_trending_developers or github_search_repositories. The purpose is inferable but the scope boundary against its closest sibling is left unstated.

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?

There is no when-to-use guidance, no mention of when to prefer this over github_search_repositories (browse trending vs. query), and no note about the sibling that returns trending developers. The agent must guess from the name alone.

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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