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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.

Input Schema

TableJSON 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

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds the prerequisite of GSC connection, which is useful, but does not detail return format, pagination, or what happens without an active connection. Some added value beyond annotations, but not extensive.

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 function, followed by a use case, a prerequisite, and a direct action. Every sentence earns its place, with no redundant or vague wording. It is appropriately sized for the tool's simplicity.

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 read-only lookup tool with fully documented schema and strong annotations, the description covers the essential points: purpose, use case, and setup requirement. It does not describe the response shape, but that is not critical given the simple output and absence of an output schema. It is a complete and practical description.

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?

The input schema fully describes all five parameters with examples and defaults (e.g., rowLimit default 25, max 1000). The description does not add additional semantic meaning beyond restating the query concept. Baseline 3 is appropriate since schema carries the parameter information.

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 clearly states a specific verb ('Get'), resource ('pages'), and scope ('for a specific search query'). It differentiates from sibling tools like get_gsc_top_queries or get_gsc_page_queries by explicitly focusing on pages matching a given query.

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 a clear use case: 'identifying which pages compete for the same keyword.' It also states the prerequisite of having Google Search Console connected and gives a direct integration URL. It does not explicitly mention when not to use it or alternative tools, but the context is sufficient.

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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TDQS

A3.5/5.0
Disambiguation4/5

The tool set is largely well-disambiguated with clear prefixes (get_, outreach_, zeekeo_) and detailed descriptions for each tool. Some tools like get_site_explorer and get_site_health could be confused at a glance, but their descriptions clearly separate their purposes. Overall, the naming and descriptions prevent meaningful ambiguity.

Naming Consistency5/5

All tools follow a consistent get_ prefix for data retrieval, with sub-prefixes like get_gsc_, get_page_, and outreach_/zeekeo_ for distinct workflows. There is no mixing of naming conventions (e.g., camelCase) or inconsistent verb usage. The naming pattern is uniform and predictable.

Tool Count1/5

With 63 tools, this server vastly exceeds the typical 3-15 tool scope, categorizing as an extreme overflow. Even for a comprehensive SEO and outreach suite, the sheer number is overwhelming and likely includes redundant or overlapping functionality. This would be confusing for agents and users alike.

Completeness4/5

The tool set covers a wide range of SEO, backlink analysis, Google Search Console data, and outreach workflows, appearing nearly complete for its stated purpose. However, several tools are marked as 'v1 stub' (e.g., get_internal_links, get_schema_markup), indicating incomplete functionality. Despite these gaps, the overall coverage is extensive and well-rounded.

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