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AgentAvow Trust

Verify an entity's trust score

verify_trust
Read-only

Verify an AgentAvow entity's trust score. Returns trust_score (0-1), trust_score_pct (0-100), trust_tier, and whether it meets a minimum threshold. Read-only, no auth. Use before interacting with an unknown agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYesUUID of a registered AgentAvow entity (resolve one with lookup_identity; unknown ids return guidance, not an error).
min_trustNoMin score, 0-1.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds 'no auth' and a usage hint, but it does not disclose error handling or behavior for unknown entities (the schema covers that). With annotations present, the description contributes only modest additional behavioral context.

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 concise sentences that front-load the purpose and immediately state return values and usage context. No unnecessary words or repetition.

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

Completeness5/5

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

For a simple two-parameter read-only tool with annotations and a full schema, the description covers the essential behavioral details: return fields, read-only status, auth requirements, and a usage recommendation. Nothing critical is missing for an agent to call it correctly.

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 both parameters (entity_id and min_trust) are already fully documented. The description does not add any parameter-specific meaning beyond what the schema provides, so it meets the baseline of 3.

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 the tool's action ('verify') and resource ('trust score'), lists the returned fields (trust_score, trust_score_pct, trust_tier, threshold), and provides a usage context that distinguishes it from general lookups. While it doesn't explicitly contrast with get_trust_badge, the purpose is unambiguous and specific.

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?

The description gives an explicit when-to-use directive: 'Use before interacting with an unknown agent.' It does not mention alternatives or exclusions, but the context is clear enough for an agent to decide when this tool is 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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