Skip to main content
Glama

zero-trust-agent-guard

Auto-created from research: Audits an autonomous AI agent's planned actions against zero-trust security policies and flags risky operations before execution. [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

C2.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does add one piece of real behavioral context an agent needs: the x402 pay-per-use cost of 0.02 USDC on Base. It also implies a non-executing advisory role ('flags risky operations before execution'). But it omits whether the tool can block or only report, what happens on policy violations, and any rate or auth constraints.

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?

Two sentences is appropriately short, and the core purpose leads. The 'Auto-created from research:' prefix is noise that delays the useful content, and the bracketed pricing aside interrupts the flow rather than being 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?

No output schema and no annotations, so the description must supply everything, and it leaves the critical gaps open: the input contract, the response shape, and differentiation from a dense cluster of zero-trust siblings. The pricing disclosure is the one genuinely useful addition.

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 the schema nominally documents its single parameter, the actual text is just 'entrada', which conveys no format, syntax, or content expectation, and the description does nothing to compensate. An agent has no idea whether 'input' should be a plan, a JSON action list, or a policy string. The description does not mention the parameter at all.

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?

States a specific verb and resource: 'Audits an autonomous AI agent's planned actions against zero-trust security policies and flags risky operations before execution.' The pre-execution framing is a genuinely distinguishing detail. However, it does nothing to separate itself from near-identical siblings such as zero-trust-agent-audit, zero-trust-policy-check, agent-zero-trust-audit, and agent-guard-scan, so an agent cannot route confidently among them.

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?

No when-to-use guidance, no prerequisites, and no alternatives named despite at least four siblings covering the same zero-trust audit territory. The only context offered is a price tag, which says nothing about when this tool is the right choice.

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.