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There's An AI For That

Get repository details

get_repository
Read-only

Get public details for one AI repository by its owner/repository slug. Preserve returned URLs exactly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe owner/repository slug returned by search_repositories.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
repositoryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior beyond that: results are public-only data, and returned URLs must be preserved verbatim rather than rewritten.

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?

Two short sentences, front-loaded with purpose and followed by the one handling constraint; nothing is redundant or padding.

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?

An output schema is present, so return values need no explanation, and the description covers purpose, key format, and output handling. Only edge cases such as a missing or malformed slug are left unaddressed.

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?

With a single parameter at 100% schema coverage, the schema already documents the 'slug' and its provenance ('returned by search_repositories'). The description adds only the format hint that slug is an owner/repository pair, which is marginal but consistent.

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?

States a specific verb and resource ('Get public details for one AI repository') and scopes it to a single-record lookup keyed by the owner/repository slug, which implicitly separates it from the many search_* siblings. It does not name search_repositories directly in the description body, so sibling differentiation is only implicit.

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 singular 'one AI repository by its owner/repository slug' implies lookup-by-known-slug usage rather than browsing, and 'Preserve returned URLs exactly' is output-handling guidance. There is no explicit when-to-use/when-not statement or named alternative, so usage remains inferred.

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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