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zero-trust-security-assessment

Auto-created from research: Automates the assessment of zero trust security architecture for autonomous AI in healthcare. [x402: 0.05 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, yet it says nothing about side effects, permissions, auth needs, or what the assessment returns. The one useful disclosure is the pricing model (x402: 0.05 USDC on Base, pay-per-use), which is genuinely non-obvious, but alone it does not make up for the missing behavioral context on a security-assessment tool.

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 compact, and the core purpose is front-loaded ahead of the bracketed payment tag. However, the 'Auto-created from research:' prefix consumes the most prominent position with no user-relevant information, and the payment detail is buried in brackets at the end rather than integrated.

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?

This appears to be a non-trivial security-assessment operation, yet there is no output schema, the single input parameter is undocumented, and no annotations exist. The description does not tell an agent how to invoke it meaningfully or what to expect in return, leaving major gaps for a tool of this complexity.

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 schema nominally has 100% coverage, but the sole parameter's description is the vacuous Spanish string 'entrada' (i.e., 'input'), which conveys no semantics. The tool description adds nothing about what the input string should contain (an architecture spec? a URL? free text?). With effectively zero substantive parameter documentation, the baseline is not met.

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 sentence names a specific verb (automates assessment) and resource (zero trust security architecture) with a stated scope (autonomous AI in healthcare). However, it does nothing to distinguish this from very similar siblings such as zero-trust-security-scanner, zero-trust-security-assessment-tool, or zero-trust-agent-audit. The 'Auto-created from research' prefix adds provenance noise rather than purpose.

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 guidance on when to use this tool versus the many near-identical zero-trust siblings, no prerequisites, and no exclusions. The agent is left to guess whether this supersedes or complements zero-trust-agent-audit or zero-trust-policy-check.

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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