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ai-agent-compliance-checker

Auto-created from research: A tool that verifies that autonomous AI agents are complying with organizational policies and regulations in real-time. [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

C2.4/5.0
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 discloses only that checks are 'real-time' and that access costs 0.03 USDC on Base (pay-per-use), which is genuinely useful. It says nothing about authentication, what data must be supplied, rate limits, whether it mutates state, or what an agent receives back.

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 short and front-loads the purpose, which is good. But the 'Auto-created from research:' prefix is noise, and the pricing bracket, while informative, is orthogonal to the tool's function, leaving only one functional sentence.

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 real-time compliance verification tool with no annotations, no output schema, and an opaque input parameter, the description is far too thin. An agent cannot determine what to pass, what policies are checked, or what a result contains.

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?

There is a single required 'input' parameter whose schema description is just 'entrada' ('input'), which conveys no meaning about expected format or content. Although coverage is nominally 100%, the placeholder text is a tautology, and the description does not compensate by explaining whether input is a policy text, an agent identifier, or a JSON payload.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('verifies that autonomous AI agents are complying with organizational policies and regulations'), so the purpose is legible. However, it offers no differentiation from the many compliance siblings (zero-trust-compliance-checker, compliance-audit, enterprise-compliance, fintech-compliance), and the 'Auto-created from research' prefix signals boilerplate rather than a curated definition.

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 an alternative among the numerous compliance/audit siblings. 'In real-time' hints at a continuous-monitoring niche but never states when to pick this over zero-trust-compliance-checker or compliance-audit.

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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