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AgentTrust

by raditotev

search_agents

Search for trustworthy agents by filtering on trust score, required capabilities, and minimum interactions. Returns ranked results to find reliable agents for your task.

Instructions

Search for agents meeting trust criteria.

Filter by minimum score, required capabilities, and minimum interaction count. Returns matching agents ranked by score descending. Use this to find trustworthy agents for a specific task type.

Args: min_score: Minimum trust score (0.0–1.0). Default 0.0 returns all. score_type: Score dimension to filter on. One of: overall, reliability, responsiveness, honesty, or a domain-specific score like domain:coding. capabilities: Require agents to have ALL of these capability tags. min_interactions: Minimum number of recorded interactions. limit: Maximum results to return (1–100, default 20). access_token: Optional AgentAuth token (reserved for future permission-gated filters).

Returns: agents list (each with agent_id, display_name, score, interaction_count, capabilities), total count, and applied filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_scoreNo
score_typeNooverall
capabilitiesNo
min_interactionsNo
limitNo
access_tokenNo
Behavior4/5

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

No annotations provided, so description carries full burden. It details filtering, ranking, and return structure, but omits rate limits or authentication requirements beyond optional token.

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?

Well-structured with Description, Args, and Returns sections, front-loading main purpose. Some verbosity in parameter descriptions, but overall efficient.

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 6 parameters and no output schema or annotations, the description covers input semantics, return structure, and usage context. Lacks pagination details, but limit parameter addresses this.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage; the description compensates fully with detailed Args for each parameter, including ranges, allowed values, and defaults.

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 for agents meeting trust criteria' with specific filters (score, capabilities, interactions) and result ranking, distinguishing it from siblings like check_trust or compare_agents.

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 states 'Use this to find trustworthy agents for a specific task type' and explains default behaviors for parameters, but lacks explicit when-not-to-use or mention of sibling 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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