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aiassistantmarketplace

Auto-created from research: A marketplace for financial AI agents, providing identity, trust infrastructure, and payment capabilities. [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

C2.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden and largely fails: it never says whether the call reads or writes, what it returns, or what auth/identity is required. It does disclose a real behavioral trait (0.01 USDC on Base, pay-per-use), which is the one piece of genuine value, but that is not enough for a no-annotation tool.

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 short sentences keep it compact, but the leading 'Auto-created from research:' is meta-noise that occupies the highest-salience position and pushes the actual content back. The bracketed x402 note is dense and useful; the rest is thin.

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 tool with no annotations, no output schema, and only an opaque single-string parameter, the description is far too thin. It omits return shape, auth model, rate limits, and the actual operation, so an agent would be guessing on every call.

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?

Schema coverage is nominally 100%, but the single parameter's schema description is the vacuous string 'entrada' (Spanish for 'input'), so it conveys no semantics at all. The tool description adds nothing about what 'input' should contain, leaving the agent with zero guidance on payload shape.

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

Purpose2/5

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

The description restates the tool name ('aiassistantmarketplace' -> 'A marketplace for financial AI agents') without stating any operation. It describes what the product IS, not what invoking the tool does (list? register? buy? query?). An agent cannot tell what a call produces.

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 when-to-use guidance, no prerequisites, and no mention of alternatives despite dozens of overlapping siblings (agtech-market, ai-agents-market-2026, identity-trust-infrastructure, agent-payment-trust). The only operational hint is the x402 pay-per-use note, which is pricing rather than usage guidance.

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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