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zero-trust-policy-check

Auto-created from research: Evaluates an action proposed by an agent against zero-trust security policies (e.g. healthcare) and returns allow/deny/require_human_approval. [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

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does add the pay-per-use cost (0.02 USDC) and the three possible return outcomes, which are useful. However, it does not disclose side effects, authorization requirements, rate limits, or whether any state is changed, relying on 'Evaluates' to imply a read-only operation.

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?

The core sentence about evaluation and output types is clear and reasonably concise, and the cost bracket is useful. However, the opening 'Auto-created from research:' is filler that does not earn its place, and the description is a single long sentence that could be better structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple schema and lack of output schema, the description covers the basic purposeThere are 3 and 4 of the sections:

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?

The schema covers the single parameter 'input' 100%, but its description is merely 'entrada', which is unhelpful. The tool description adds some meaning by framing the input as an action proposed by an agent, but it does not explicitly map 'input' to that action or specify the required format. The description partially compensates for the weak schema but leaves ambiguity.

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 uses a specific verb ('Evaluates') and resource ('an action proposed by an agent against zero-trust security policies') and clearly states the output decision types (allow/deny/require_human_approval). This distinguishes the tool's primary function well, though it does not explicitly name sibling alternatives to differentiate from.

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?

The described behavior implies when to use it (evaluating an agent action against zero-trust policies) and gives an example domain (healthcare), but it provides no explicit when-not-to-use guidance, alternatives, or context that would help an agent choose between this and related security/policy tools like compliance-audit or agent-trust-registry.

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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