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minia2a-mcp-remote

x402-random-company

Random Company: Generate a random company name. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / n
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / value
      Removed value: -{
      -  "type": "string"
      -}
  2. Changed2 schema fields changed
    • removedInput schema / properties / n / description
      Removed value: -"N to process"
    • removedInput schema / properties / value / description
      Removed value: -"Value to process"
  3. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden; it does add useful non-obvious context that this is a pay-per-call endpoint metered per signed wallet with a 5-call trial, which the agent could not know otherwise. It says nothing about the response shape, uniqueness guarantees, or what happens after quota exhaustion, which matters for a zero-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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short, front-loaded lines with the purpose first and the quota note second; nothing is padded or buried. The emoji is decorative but does not impede parsing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter generator with no output schema, the description should say what comes back (e.g., a single name string and possibly a suffix), and it does not. The trial/quota disclosure helps, but return-value semantics remain a gap that the missing output schema makes more significant.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is an empty object with zero parameters, so there is nothing for the description to explain beyond confirming no input is needed. The lack of any stated inputs is consistent with the schema, warranting the zero-parameter baseline.

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 names a specific verb and resource ('Generate a random company name'), so the core action is unmistakable. It does not, however, distinguish itself from near-neighbors in the catalog such as x402-random-name, x402-random-word, or x402-ai-naming, leaving the agent to infer the distinction from the tool name alone.

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 and no mention of alternatives or exclusions; the only contextual sentence is commercial ('5 free trial calls per signed wallet'). The agent learns the price gating but nothing about when this generator is preferable to a sibling generator.

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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