Skip to main content
Glama

agent-counterparty-trust-check

Auto-created from research: Evalúa la confiabilidad de un agente contraparte antes de una transacción económica, verificando identidad, autoridad delegada y señales de riesgo para pagos agente-a-agent [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

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does add genuine behavioral context by disclosing the billing model (x402, 0.02 USDC on Base, pay-per-use), which is real value. But it omits auth requirements, determinism, rate limits, and any indication of what a 'trust' outcome looks like, so the disclosure is partial.

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?

It is a single sentence, but the 'Auto-created from research:' preamble is noise that pushes the actual purpose back, and the bracketed pricing sits at the tail. The intent-bearing content is compact, but the front-loading is weakened by the autogeneration tag.

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?

There is no output schema and no annotations, yet the description says nothing about what the tool returns or how trust is graded. For a trust-evaluation tool whose entire value is the verdict, the definition leaves the agent without enough to interpret or trust the result.

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 literally 'entrada' (the word 'input' restated in Spanish), so the nominal 100% coverage carries no real meaning. The description never clarifies what that input should contain (an agent ID, wallet address, payload?) or its format, so the semantics remain opaque.

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 states a specific verb and resource: it evaluates the reliability of a counterparty agent before an economic transaction, verifying identity, delegated authority, and risk signals. That is concrete and distinguishable in intent. However, it does not differentiate itself from the dense cluster of near-identical siblings such as agent-trust-oracle, agent-trust-score, and agent-trust-verify, so an agent cannot tell from the text alone 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the temporal cue 'antes de una transacción económica' (before an economic transaction). No alternative tools are named and no when-not conditions are given, leaving the agent to infer the selection criteria among the many trust siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.