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agent-payment-trust

Auto-created from research: Evaluates whether an autonomous AI agent should be trusted to initiate a blockchain payment or transaction under delegated authority. [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

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does add one useful trait - the x402 pay-per-use cost (0.03 USDC on Base) - but says nothing about what the evaluation returns, what authority or evidence it needs, or how the trust verdict is derived. The 'Auto-created from research' prefix also signals low curation.

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

Conciseness3/5

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

Two sentences with the core purpose front-loaded and pricing bracketed at the end. It is compact, but the 'Auto-created from research:' prefix is noise that occupies the most prominent position and delays the actual verb.

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?

For a trust-evaluation tool with no annotations, no output schema, and an opaque 'input' parameter, the description leaves critical gaps: what to supply, what a verdict looks like, and which sibling tool to prefer. Only the pricing signal is fully covered.

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 single parameter is named 'input' and its schema description is merely 'entrada', which restates the parameter name and conveys no semantics. Although schema coverage is nominally 100%, the coverage is empty, and the description never clarifies what should be passed (agent DID, transaction payload, delegation scope), so it fails to compensate.

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 verb and resource: evaluates whether an autonomous AI agent should be trusted to initiate a blockchain payment under delegated authority. The purpose is genuinely clear. However, it offers no differentiation from the near-identical sibling 'agent-payment-trust-check' or related trust tools (agent-trust-oracle, agent-counterparty-trust), so an agent cannot tell which to pick.

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 when-to-use guidance, no prerequisites, and no mention of alternatives despite a crowded field of sibling trust-check tools. The description only asserts what the tool does, leaving the agent to infer invocation context entirely.

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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