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ai-agent-security-scan

Auto-created from research: Scan and assess the security of AI agents in production environments, identifying vulnerabilities and compliance issues. [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?

No annotations are provided, so the description carries the full disclosure burden. It does add genuinely useful context the schema cannot express: the x402 payment model and cost (0.02 USDC on Base, pay-per-use). It says nothing about required access/permissions, scan duration, whether targets are contacted live, or what the scan reports.

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 is efficient and front-loaded, but the 'Auto-created from research:' provenance prefix and the bracketed pricing tag consume roughly a third of the text without helping tool selection or invocation.

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 unannotated single-parameter tool with no output schema and no sibling differentiation, the description leaves critical gaps: input format, what a scan requires of the target, and how results (vulnerability list? compliance score?) are returned. It is not complete enough for confident 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?

There is a single parameter named 'input' whose schema description is literally 'entrada', which conveys no semantics. The description never explains what the input should contain (agent ID, URL, code, configuration?), so despite nominal 100% schema coverage the agent has no usable guidance on how to populate it.

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?

It names a specific verb pair ('scan and assess') and a concrete resource ('security of AI agents in production environments'), with the scan output framed as vulnerabilities and compliance issues. It does not, however, distinguish itself from the many near-identical siblings (agent-security-audit, agent-guard-scan, zero-trust-agent-audit, agent-injection-scanner). The 'Auto-created from research' prefix is noise that adds no purpose information.

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 (does it need an endpoint URL, source code, or config?), and no named alternatives despite an extremely crowded sibling set of security-scan tools. The only usage-adjacent detail is the pay-per-use note, which describes cost rather than selection criteria.

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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