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Crawlora MCP

github_org_repos

Read-only

GitHub organization public repositories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgYesGitHub organization login.
pageNoPage number.
sortNoSort field: created, updated, pushed, or full_name.
typeNoRepository type: all, public, forks, sources, or member.
per_pageNoResults per page (max 100).
directionNoSort direction: asc or desc.

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

C2.9/5.0
Behavior3/5

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 only the 'public' scope qualifier, which is modest context and slightly at odds with the 'type' parameter that permits all/forks/sources/member. With annotations carrying the behavioral load, a 3 is appropriate.

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?

A single short, front-loaded fragment with zero wasted words. It is efficient, though its brevity is closer to under-specification than deliberate concision.

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?

With an output schema present and annotations covering safety, the description need not explain return values, and the schema covers pagination and sorting. Still, for a 6-parameter listing tool the description is minimal and offers no scoping or usage context beyond the resource name.

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%, so all six parameters (org, page, sort, type, per_page, direction) are documented in the schema itself. The description contributes nothing about parameter meaning, which is the expected baseline when the schema does the heavy lifting.

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?

The phrase identifies the resource precisely (repositories belonging to a GitHub organization) and the 'public' qualifier distinguishes it from broader repository tools, but it gives no verb such as 'list' and reads as a noun fragment rather than a statement of what the tool does. An agent can infer the purpose but gets no explicit action.

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 guidance on when to use this versus github_user_repos, github_search_repositories, or github_repo, nor any note on prerequisites, filtering intent, or context. The agent must infer usage entirely from the name.

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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