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koalyptus

ls-apis-mcp

search-apis

Search public APIs by query, category, and authentication type. Filter results to find the API you need.

Instructions

Search public APIs from the ls-apis dataset. Filter by query, category, auth type, and limit results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch term to match against API names and descriptions
categoryNoFilter by category (e.g., weather, finance, animals)
authNoFilter by authentication type: apiKey, OAuth, or no
limitNoMaximum number of results to return (default: 20)
Behavior3/5

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

No annotations provided, so the description carries the transparency burden. It describes a straightforward search and filter operation, but does not mention outcomes like empty results, pagination, or performance implications.

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 concise sentence that front-loads the core purpose. Every word adds value, and there is no redundancy.

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?

Given 4 optional parameters with 100% schema coverage and no output schema, the description is functional but misses details like default limit (20) or match behavior. It could be more complete for a search tool.

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 coverage is 100% and each parameter's description is already in the schema. The tool description merely restates 'filter by query, category, auth type, and limit' without adding new semantic value.

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 clearly states 'search public APIs' and lists filtering criteria. It differentiates from sibling tools list-categories and list-providers which focus on listing entities rather than searching.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for searching and filtering APIs, contrasting with siblings that list categories/providers. However, it lacks explicit when-to-use or when-not-to-use guidance.

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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