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agent-trust-registry

Auto-created from research: Identity and trust verification service that returns a due-diligence report on an autonomous agent (identity proof, operator, reputation, authorization scope) before enteri [x402: 0.02 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesentrada

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It does disclose one important behavioral trait: the tool is pay-per-use at 0.02 USDC on Base, and it returns a report. It does not describe side effects, failure modes, authentication requirements, or whether the call is read-only, but the cost disclosure is meaningful and relevant.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but poorly structured and appears auto-generated/truncated, with 'Auto-created from research' as filler that does not help an agent. The key pricing detail is buried in a bracketed suffix rather than integrated clearly. It is concise in length but not well front-loaded with actionable information.

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?

Given one opaque parameter, no output schema, and no annotations, the description leaves critical invocation details unresolved. It names report topics and pricing but does not specify how to pass the agent identity or what the raw output looks like. An agent could not reliably call this tool correctly without additional external knowledge.

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

Parameters2/5

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

The schema has one required parameter 'input' described only as 'entrada', which is a tautological label rather than semantic guidance. Even though schema coverage is 100% by count, the description does not explain what the input should contain—e.g., an agent ID, URL, or structured payload. The tool description implies the input is the autonomous agent to verify, but provides no concrete format or expected value.

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 is an identity and trust verification service that returns a due-diligence report on an autonomous agent, listing report contents (identity proof, operator, reputation, authorization scope). It distinguishes itself from generic due-diligence or research siblings by focusing on agent trust verification. However, the sentence is visibly truncated ('enteri') and does not explicitly name sibling alternatives, so it falls short of a 5.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The phrase 'before entering' hints at a pre-integration use case, but an agent cannot infer why this tool should be chosen over siblings such as 'due-diligence' or 'verifiable-auth-validator'. This leaves usage selection largely to inference.

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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