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MCPFax On-Chain Toolkit

Tell us what data you are looking for (free)

request_data

FREE, no payment. Describe in your own words the data you are trying to buy — anything, not just on-chain data — and get back whether we operate a service that supplies it, with the MCP endpoint if so. Every request is catalogued so repeatedly-requested data gets built. Nothing identifying is stored, only the words of the request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
needYesWhat you are looking for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / need / examples
      Added value: +[
      +  "live electricity spot prices by ZIP"
      +]
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses that the request is free, that requests are catalogued, that nothing identifying is stored, and that the response includes availability and an MCP endpoint. This is transparent for a simple query tool, though it omits details like rate limits or what happens if the service is not available.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

The description is compact (three sentences) and front-loads the key value proposition ('FREE, no payment'). Each sentence adds distinct value: cost, purpose, and privacy/behavior. No redundant phrasing.

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

Completeness4/5

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

For a simple tool with one parameter, no output schema, and no annotations, the description covers the purpose, expected input, and a reasonable description of the response (availability and endpoint). It doesn't detail the exact response structure, but that is acceptable given the absence of an output schema and the tool's simplicity.

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 coverage is 100% and the single parameter 'need' is described as 'What you are looking for.' The description adds a free-form context with an example, but does not introduce additional semantics beyond what the schema already conveys. Baseline of 3 is appropriate given the high schema coverage.

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

Purpose5/5

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

The description clearly states the tool's purpose: users describe what data they want, and it returns whether the service provides it, with an endpoint if available. It distinguishes itself from siblings by explicitly covering 'anything, not just on-chain data,' which differentiates it from the specific lookup tools like gas_now or token_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for general or unspecified data requests, contrasting with the more targeted sibling tools. It says 'anything, not just on-chain data,' which suggests using it when the specific tool is not obvious, but it does not explicitly name alternatives or exclusion conditions.

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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