Skip to main content
Glama

zero-trust-agent-audit

Auto-created from research: Audit autonomous agent configurations for zero-trust vulnerabilities including prompt injection, identity spoofing, and privilege escalation. [x402: 0.01 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesentrada

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
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 burden. The only behavioral disclosure is the pricing note (0.01 USDC on Base, pay-per-use). It does not state whether the tool makes external calls, what it consumes, rate limits, or any side effects, leaving a security-audit tool behaviorally opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence that front-loads the purpose, followed by a compact pricing note. No wasted words; the phrasing is appropriately sized.

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 an audit tool that likely accepts complex agent configurations, the input format is entirely undocumented and there is no output schema. The agent knows what the tool does but not what to pass in or what it will return, which is inadequate for reliable invocation.

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?

Although schema coverage is reported as 100%, the parameter description is merely 'entrada' (Spanish for 'input'), which is tautological and adds no meaning. The tool description does not clarify what the 'input' should contain (config file, JSON, URL, etc.), so an agent cannot infer the expected input format.

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 (Audit) and resource (autonomous agent configurations) and enumerates the covered vulnerability classes: prompt injection, identity spoofing, and privilege escalation. This is specific enough to separate it from many siblings, though it does not explicitly distinguish it from the very similar zero-trust-policy-check.

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 closely related siblings zero-trust-policy-check, injection-guard, agent-identity-attestor, or verifiable-auth-validator. No context on prerequisites, expected inputs, or scenarios is provided.

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.

Resources