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Datasource Wholesale Background Check API

List API operations

list_operations
Read-onlyIdempotent

Lists every operation of the API (operationId, HTTP method, path, summary), grouped by tag. Then call get_operation for one operation's full details.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_operations"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. Beyond that, the description adds genuinely new context by disclosing the return shape and the tag-based grouping, which matters because no output schema exists; it does not mention result volume or whether the list is complete/paginated.

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 short sentences: the first front-loads what is returned and how it is organized, the second routes to the companion tool. There is no redundant restatement of the title and no wavering language.

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 parameterless listing tool with no output schema, the description supplies the missing return-field information and the natural next step, which is enough for correct invocation. The only unaddressed point is scale — whether the listing can be large or is truncated — which is minor for a zero-argument call.

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 tool takes zero parameters, so the baseline is 4; there is nothing parameter-related the description needs to compensate for. Omitting parameter talk is correct rather than a gap.

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 gives a specific verb and resource ('Lists every operation of the API') and enumerates the fields returned (operationId, HTTP method, path, summary) plus the grouping ('by tag'). It also explicitly separates this tool from get_operation, so an agent can choose between them without opening either schema.

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?

It states the follow-up pattern clearly: 'Then call get_operation for one operation's full details,' which effectively names the alternative and the condition that selects it. It does not address other possible entry points (e.g. search_docs) or say when not to use this listing, so it stops just short of full routing 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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