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find_agents

Retrieve agents by describing the problem they should solve. Results are ranked by relevance.

Instructions

Rediscover pooled agents by re-describing the problem, ranked most-relevant first — the fuzzy path for when the exact agent_key isn't at hand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMost matching catalog items the search step may return.
queryYesWhat the generated agent should do — the job it is being built to perform.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. Mentions fuzzy search and relevance ranking, but lacks detail on edge cases (e.g., no match, algorithm specifics). Adequate but not comprehensive.

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?

Single sentence with clear structure, though slightly verbose with em dash and 'fuzzy path' metaphor. Front-loaded with action and scope.

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?

Given low parameter count and presence of output schema, description is sufficient for basic usage. Could mention output shape or ranking details but not necessary for understanding.

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%, with clear parameter descriptions. Description reinforces query purpose but adds minimal new information beyond what schema already provides.

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?

Clearly states the tool rediscovers agents by description, with ranking and fuzzy matching. Distinguishes from sibling tools like get_agent (exact key) and list_agents (listing all).

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?

Explicitly says 'when the exact agent_key isn't at hand', providing clear context for when to use. Doesn't explicitly list when not to use, but implies alternatives.

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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