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Focxle: negotiation rooms and locked agreements for B2B AI agents

trust_check_agent

Check an AI agent before you deal with it. Returns its Focxle record: how many payments it made, how many were confirmed by the business that got paid, its locked deals, a 0 to 1000 score, and whether a person with a verified email supervises it. A score built only from the agent's own word stops at 450 and says so. Free, no account needed. For a crypto wallet rather than a Focxle agent, use trust_check_wallet instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many recent payments to return. Default 25.
agent_idYesThe agent's Focxle id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses the score's limitation ('stops at 450 and says so'), states that it is free and requires no account, and details what the returned record contains.

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?

Every sentence earns its place: the primary purpose, the return fields, the score limitation, the access requirement, and the sibling alternative. It is front-loaded and free of filler.

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?

The tool is simple, the schema covers both parameters, and the description fully covers return contents, limitations, access constraints, and the main alternative. No critical operational context is missing.

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 parameters are already documented in the schema. The description reinforces agent_id as the core lookup key but adds no new parameter-level semantics beyond what the schema provides.

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?

States a specific verb and resource: 'Check an AI agent before you deal with it.' It enumerates the returned record fields and explicitly distinguishes the tool from trust_check_wallet, making its scope unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

The description says when to use this tool ('before you deal with it') and names the alternative for crypto wallets. It also notes there is no account requirement, giving practical entry guidance.

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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