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agent-trust-registry

Auto-created from research: Verificacion de identidad y reputacion on-chain para agentes de IA antes de ejecutar pagos o transacciones agente-a-agente, segun la infraestructura de confianza del paper [x402: 0.03 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesentrada

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses payment and network context (x402: 0.03 USDC on Base, pay-per-use) and that verification is on-chain, but omits auth requirements, read/write nature, rate limits, failure modes, and response format.

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?

The description is a single sentence and front-loads the core purpose. It starts with the unhelpful 'Auto-created from research' prefix and references a vague paper, but otherwise avoids unnecessary bloat.

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?

With no output schema and no annotations, the description should explain return values and invocation details. It gives purpose and cost metadata but leaves input format, output semantics, and the actual trust verification mechanics unspecified, making correct invocation difficult.

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 even though the description adds no parameter guidance. The only input is a string described as 'entrada', and the agent still cannot tell whether to pass an agent ID, wallet address, payload, or other identifier.

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?

States a specific resource and scope: verification of on-chain identity and reputation for AI agents before payments or agent-to-agent transactions. However, it does not differentiate from the many trust-related siblings such as agent-trust-verify, agent-trust-score, or agent-counterparty-trust-check, and it never explains what 'registry' means in the tool name.

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?

Gives a clear usage trigger: before executing payments or agent-to-agent transactions. It lacks when-not-to-use guidance and does not explicitly compare to alternatives, but the context is plainly stated.

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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