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io.scalably/dataforseo-mcp

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Read-onlyIdempotent

Fetch DataForSEO API documentation from a given URL, with optional code examples in multiple languages.

Instructions

Fetch DataForSEO API documentation from a documentation URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesDocumentation URL or path (e.g. https://docs.dataforseo.com/v3/serp/google/organic/live/regular or serp/google/organic/live/regular)
needCodeExampleNoInclude multi-language code examples (PHP, Node.js, Python, C#)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description does not contradict these and adds that the tool fetches documentation content from a URL, but it offers no further behavioral detail such as return format, error behavior, or URL handling. The annotation coverage makes this adequate.

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 a single efficient sentence with a front-loaded verb and no unnecessary words. It communicates the core purpose immediately and avoids restating the title.

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 read-only fetch tool with two fully described parameters and rich annotations, the description is nearly sufficient. It lacks explicit return-value expectations and sibling routing, but the schema and annotations compensate for most of the missing context.

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 description coverage is 100%, so the schema fully documents the url and needCodeExample parameters. The tool description itself adds no extra semantic meaning beyond what the schema already provides, so the baseline of 3 is appropriate.

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?

Description clearly states the verb 'Fetch' and the resource 'DataForSEO API documentation', and specifies it operates 'from a documentation URL'. It is distinguishable from api_request, which executes API calls, but it does not explicitly differentiate from sibling doc tools like docs_index or docs_list_sections.

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

Usage Guidelines3/5

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

The phrase 'from a documentation URL' implies this tool should be used when a specific documentation URL or path is already known. However, it does not explicitly state when to use this tool instead of docs_index, docs_list_sections, or api_request, leaving the choice to inference.

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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