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identity-management-platform-for-ai-agents

Auto-created from research: A platform to manage identities and trust infrastructure for autonomous AI agents in financial markets. [x402: 0.015 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesentrada

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It does disclose a useful trait — x402 pay-per-use at 0.015 USDC on Base — but says nothing about what the tool does at runtime, what auth is needed, what it returns, or side effects. The one concrete detail is outweighed by the missing core behavior.

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?

Short and front-loaded, and the pricing bracket is useful, but the leading 'Auto-created from research:' is meta-noise that consumes prime position without informing the agent.

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 a one-parameter tool with no annotations and no output schema, the description should at minimum explain the expected input and the effect of calling it. It fails on both, leaving the agent unable to invoke the tool meaningfully.

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 single parameter's schema description is 'entrada', which is a vacuous restatement of 'input' rather than real semantics. Although nominal schema coverage is 100%, that coverage adds no meaning, and the description contributes nothing about what the input should contain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a resource and domain ('identities and trust infrastructure for autonomous AI agents in financial markets'), but 'a platform to manage' is a vague verb with no concrete tool action. It does not differentiate itself from the many sibling trust/identity tools (agent-trust-oracle, agent-trust-registry, agent-identity-attestor), so an agent cannot tell what calling this actually does.

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 a dense cluster of identity/trust siblings. The only hint is the payment model, which does not tell the agent 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.

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