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Datasource Wholesale Background Check API

Get one API operation

get_operation
Read-onlyIdempotent

Full details of one API operation: description, parameters, request body fields, every response and JSON examples (the same text as its section of /llms-full.txt). Pass its operationId from list_operations (e.g. GetCheck), or 'METHOD /path'.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "operationId": "<operationId>"
    },
    "name": "get_operation"
  }
}

Input Schema

NameRequiredDescriptionDefault
operationIdYesThe operationId (from list_operations), or 'METHOD /path'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed world), so the bar is lower, and the description still adds useful information: the output is exhaustive (every response, JSON examples) and is verbatim text equivalent to that operation's section of /llms-full.txt. No pagination or size caveats are given, keeping it from a 5.

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?

Two sentences, zero filler: contents first, then the identifier format. Nothing could be removed without losing signal.

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

Completeness5/5

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

With one required parameter, a fully documented schema, and no output schema, the description carries exactly what is needed: what is returned and how to supply the id. Nothing an agent needs to invoke it correctly is missing.

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 property description already states 'operationId (from list_operations), or METHOD /path', so the description largely restates it. The only added meaning is a concrete example value (GetCheck), which is marginal; baseline 3 applies.

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?

States a specific resource (one API operation) and enumerates exactly what comes back: description, parameters, request body fields, every response and JSON examples. It is clearly separable from list_operations, which only enumerates operations.

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?

Explains how to obtain the required identifier ('Pass its operationId from list_operations') and even an example value (GetCheck), establishing the intended list-then-fetch workflow. It stops short of explicit when-not-to-use guidance versus get_guide_section or search_docs, but the context is clear.

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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