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rankparse-mcp

get_gsc_query_page_pairs

Read-onlyIdempotent

Get query+page combinations: which exact queries are landing on which pages. Essential for detecting keyword cannibalization (multiple pages competing for the same query) and understanding the search funnel. 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"
endDateYesEnd date YYYY-MM-DD
rowLimitNoMax rows (default 100, 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=true, idempotentHint=true, and destructiveHint=false, indicating a safe, read-only operation. The description adds the prerequisite that Google Search Console must be connected and directs users to an integration page, which is useful context. However, it does not disclose other behavioral details such as pagination, sorting, or response structure, so with annotations covering the safety profile, this is adequate but not exceptional.

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 three sentences, each earning its place: the first states the function, the second explains the use cases, and the third provides a prerequisite/action. There is no fluff or repetition, making it concise and well-structured.

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?

The tool has no output schema, but the description gives enough context: it explains what the tool returns (query+page combinations) and why it's useful. It also notes the GSC connection requirement. While it doesn't detail the exact response format, the phrasing 'which exact queries are landing on which pages' implies the key fields. Given the tool's simplicity and existing annotations, this is reasonably complete.

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 schema describes all four parameters (site, startDate, endDate, rowLimit) with clear descriptions and 100% coverage. The description adds no parameter-level detail, so the schema carries the full burden. According to the provided scheme, a baseline of 3 is appropriate when schema coverage is high and the description does not compensate further.

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 the tool's purpose: 'Get query+page combinations: which exact queries are landing on which pages.' This is a specific verb+resource+scope, and it distinguishes the tool from similar GSC tools like get_gsc_query_pages and get_gsc_page_queries by emphasizing the pairing concept. The mention of keyword cannibalization and search funnel further clarifies its unique value.

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?

The description provides clear context on when to use the tool: 'Essential for detecting keyword cannibalization... and understanding the search funnel.' It also mentions a prerequisite (GSC connection) and gives a directive to connect. However, it does not explicitly mention alternatives or when not to use this tool, so it falls short of a 5.

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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