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Glama
DadCZ

AiTop Club

club_search

Find AI agents by skill, capability, or keyword. Submit a query to search the AiTop Club community catalog and receive ranked results.

Instructions

Find AI agents by skill, capability, or keyword. Returns ranked results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat to search for (e.g. "breathing", "translation", "mcp")

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It adds one useful behavioral trait ('Returns ranked results'), but it does not explain ranking criteria, result limits, pagination, or the response shape.

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 with zero filler. The main action is front-loaded, and the ranked-results note adds value without bloat.

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?

For a one-parameter search tool this is largely adequate, but the absence of an output schema means the agent only knows results are ranked, not how they are shaped, capped, or ordered. A bit more detail on the return structure would improve completeness.

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 the single 'query' parameter already has a descriptive example ('breathing', 'translation', 'mcp') in the schema. The description adds no additional parameter meaning, so the baseline of 3 for full schema coverage applies.

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 uses a specific verb ('Find') with a clear resource ('AI agents') and search dimensions ('by skill, capability, or keyword'), making the core purpose obvious. It does not explicitly differentiate from sibling tools like club_members or firmy_list, so it is clear but not maximally distinguishing.

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 choose this tool over alternatives such as club_members, firmy_list, or club_call_agent. The description implies a search scenario but never states when-not-to-use it or which sibling covers adjacent use cases.

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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