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DataForSEO MCP by InsightfulPipe

DataForSEO Data Query

query_data
Read-only

Query DataForSEO data (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id AND available_actions

  2. request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] - Get detailed body structure for specific action(s) using actions from available_actions

IMPORTANT: Always call step 2 to see the exact body structure before querying.

Rely on info from steps 1-2 to construct the query body. Follow the schema exactly.

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": {
      "body": "<body>"
    },
    "name": "query_data"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. Beyond that, the description discloses a genuinely important behavioral trait the annotations can't express: the call depends on prior state from query_contexts and will produce a wrong body if steps 1–2 are skipped. It still doesn't state failure modes or rate-limit/external-API behavior.

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?

Front-loads the workflow position and uses a compact numbered prerequisite list, which is the right structure for a gated tool. Minor waste: "Always call step 2 to see the exact body structure" and "Rely on info from steps 1-2" restate what the numbered list already said.

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?

Since an output schema exists, return values need no explanation, and the multi-step precondition—the hardest part of this tool—is well covered. But for a tool whose single parameter is an entirely opaque free-form body, the description never explains what actions are available or how this differs from execute_action, leaving an agent's biggest decision unaddressed.

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?

There is one parameter, 'body', which is a free-form object with additionalProperties and 0% schema description coverage, so the schema carries no meaning at all. The description compensates by telling the agent exactly where to obtain the body structure (actions_details), but 'Follow the schema exactly' is misleading when the schema declares an unconstrained object with no defined properties.

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

Purpose3/5

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

"Query DataForSEO data" names a verb and resource and places itself as step 3 (FINAL) of a workflow, which helps position it against query_contexts. However, it never says what kind of query this is (which endpoint family, what a 'query body' executes) and says nothing to distinguish it from the sibling execute_action, which sounds functionally equivalent.

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?

Very explicit prerequisites: it names query_contexts with request='accounts', then request='actions_details' with concrete actions, and insists step 2 always be run first. What's missing is guidance on when to pick this over execute_action, but the entry conditions are unambiguous.

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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