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rankparse-mcp

get_gsc_query_pages

Read-onlyIdempotent

Get all pages that rank for a specific search query. Useful for identifying which pages compete for the same keyword. Requires Google Search Console to be connected. Direct the user to rankparse.com/dashboard/integrations to connect it. When several Google accounts are connected, the property is read through the account that can see it.

Input Schema

NameRequiredDescriptionDefault
siteYesProperty URL e.g. "https://example.com"
queryYesSearch query to look up e.g. "best seo tools"
endDateYesEnd date YYYY-MM-DD
rowLimitNoMax rows (default 25, max 1000)
startDateYesStart date YYYY-MM-DD
searchTypeNoSearch type (default web). Google does not offer every dimension for discover and googleNews (query is not available there).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / searchType
      Added value: +{
      +  "description": "Search type (default web). Google does not offer every dimension for discover and googleNews (query is not available there).",
      +  "enum": [
      +    "web",
      +    "image",
      +    "video",
      +    "news",
      +    "googleNews",
      +    "discover"
      +  ],
      +  "type": "string"
      +}
  2. Added

TDQS

A4/5.0
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, openWorld). The description adds meaningful context beyond that: Google Search Console must be connected, the integration URL is provided, and multi-account property resolution is explained.

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 front-loaded with the core action and use case, then adds only relevant prerequisites and account behavior. Every sentence provides useful information without unnecessary repetition.

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?

There is no output schema, and the description does not specify what fields are returned for each page. It does, however, cover the essential call context: purpose, connection requirement, and multi-account resolution.

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 all parameters are already documented in the schema. The description does not add parameter-specific format or behavior details beyond what the schema provides, establishing the baseline score.

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?

The description states a specific verb and resource: 'Get all pages that rank for a specific search query.' It also clarifies the analytical use case, but it does not explicitly distinguish itself from close siblings such as get_gsc_page_queries or get_gsc_query_page_pairs.

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 provides clear context for when the tool is useful: 'identifying which pages compete for the same keyword.' It also states the connection prerequisite, but gives no explicit exclusions or direct alternative-tool routing.

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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