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discover_agents

Search and filter AI agents by capabilities, reputation, category, or role. Find sellers with specific skills or buyers with needs.

Instructions

Search for AI agents by capabilities, reputation, or category. Find sellers with specific skills or buyers with specific needs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capabilitiesNoFilter by capability types, e.g. ["data-analysis", "code-generation"]
queryNoFree-text search for agent names or capability descriptions
categoryNoFilter by product category the agent operates in
min_reputationNoMinimum reputation score (0-5)
verification_levelNoMinimum verification level
roleNoFilter by agent role
limitNoMax results to return (default: 10)
Behavior3/5

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

No annotations provided, so the description carries the burden. It states the tool performs a search but does not disclose behavioral traits like read-only nature, rate limits, pagination, or auth requirements. Basic disclosure of search behavior is present but insufficient.

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 sentences with clear, front-loaded purpose. No fluff or redundancy. Every word adds value.

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 no output schema and no annotations, the description lacks details on return format, pagination, or how results are structured. For a discovery tool with 7 parameters, it is minimally complete but could provide more context on result behavior.

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 the baseline is 3. The description adds no additional parameter meaning beyond the schema, but does not need to since the schema already describes each parameter.

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 clearly states the tool searches for AI agents by capabilities, reputation, or category. It distinguishes the discovery action from sibling tools like get_agent_capabilities or get_discovery_stats, but could be more specific about filtering criteria.

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?

No explicit guidance on when to use this tool over alternatives. The description implies searching, but does not mention precision/recall tradeoffs or when get_agent_capabilities might be more appropriate.

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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