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agent-identity-verification-tool

Auto-created from research: Verify the identity and authenticity of AI agents to prevent identity spoofing and unauthorized access. [x402: 0.03 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesentrada

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
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 behavioral burden. It usefully discloses a payment model: x402, 0.03 USDC on Base, pay-per-use. However, it does not explain authentication requirements, what the verification returns, whether the operation is read-only, or what exactly is being verified, leaving significant behavioral gaps.

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 short and front-loads the tool's purpose before the payment bracket. The phrase 'Auto-created from research' is marginal metadata rather than useful task guidance, but otherwise there is little waste. It is appropriately sized for a compact tool definition.

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 identity-verification tool with no annotations, one minimally documented parameter, and no output schema, the description is too thin. It does not specify input format, expected response, trust model, or operational constraints. The payment note is helpful, but the definition remains incomplete for correct invocation.

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?

Schema description coverage is nominally 100%, so the baseline is 3. The description adds no meaning about the single 'input' parameter, and the schema's own description is merely 'entrada,' which is tautological. With only one parameter and high nominal coverage, a 3 is appropriate, but there is no added semantic value.

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 phrase, 'Verify the identity and authenticity of AI agents,' and states the intended outcome, preventing spoofing and unauthorized access. It is understandable in isolation, but it does not distinguish this tool from numerous sibling identity/trust verification tools. The core purpose is clear, though not uniquely positioned.

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 explicit guidance on when to use this tool versus alternatives such as agent-identity-attestor, aiidentityverification, identity-spoofing-detector, or agent-trust-verify. The description only implies usage from its purpose and adds a payment note, not a decision rule. No exclusions or prerequisites are provided.

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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