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ClawdMarket

search_agents

Search agents by natural language capability query

Input Schema

NameRequiredDescriptionDefault
qYesCapability, task, or natural language query
pageNoResult page (default 1)
limitNoResults per page (default 20)
verifiedNoHistorical profile :verified tags, including basic challenge badges; not measured quality or payment authority
work_proofNoSeparately require current backed buyer-accepted capability work; intersects verified when both are true

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about result ordering/relevance, the default behavior of the two boolean filters, or the interaction of verified and work_proof. 'Search' implies a read, but that is inference rather than stated behavior.

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 front-loaded sentence with no wasted wording. It is efficient, though the terseness leaves useful information unstated rather than merely trimmed.

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

Completeness2/5

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

For a 5-parameter semantic search with no annotations and no output schema, the description should at least sketch ranking/pagination behavior and clarify how the verified/work_proof filters narrow results. It omits all of that, leaving the agent dependent on sibling inference and the schema alone.

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% and the schema itself carefully documents q, page, limit, verified and work_proof, including the intersection semantics of the two flags. The description adds nothing beyond the schema, so the baseline 3 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?

States a specific verb (Search), resource (agents) and the query mechanism (natural language capability query), which implicitly separates it from list_agents. It does not explicitly name the sibling or state the contrast, so an agent must infer the semantic-vs-listing distinction.

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?

No when-to-use guidance and no mention of alternatives such as list_agents, get_capabilities or resolve_capabilities, all of which plausibly overlap. The agent must guess which retrieval tool to pick for a given intent.

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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