Skip to main content
Glama

rankparse-mcp

get_gsc_low_ctr_queries

Read-onlyIdempotent

Find search queries with high impressions but low CTR. These are ranking but not getting clicked, usually because the title or meta description is weak or misleading. Fixing these is typically higher ROI than chasing new rankings. 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"
maxCtrNoOnly include queries with CTR at or below this value 0–1 (default 0.05 = 5%)
endDateYesEnd date YYYY-MM-DD
rowLimitNoMax rows (default 50, max 1000)
startDateYesStart date YYYY-MM-DD
minImpressionsNoOnly include queries with at least this many impressions (default 100)

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint false, so the safety profile is covered. The description adds value by disclosing that GSC must be connected and providing a specific integration URL, plus explaining the strategic context behind the query results. No contradiction with annotations.

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 four sentences, front-loaded with the core purpose in the first sentence. Each subsequent sentence earns its place: the 'ranking but not clicked' explanation, the ROI rationale, and the prerequisite/instruction. There is no redundant content.

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?

With six well-documented parameters and no output schema, the description adequately covers the tool's purpose, usage context, and prerequisite. It could mention what the return data looks like, but the self-explanatory name and rich schema make the description sufficiently complete for an agent to select and invoke the tool correctly.

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 has 100% coverage with detailed descriptions for all six parameters (site, startDate, endDate, maxCtr, rowLimit, minImpressions). The description does not add parameter-specific meaning beyond what the schema 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.

Purpose5/5

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

The description clearly states 'Find search queries with high impressions but low CTR' with a specific verb and resource. It distinguishes from sibling tools like get_gsc_low_ctr_pages by focusing on queries rather than pages, and adds context by explaining these are 'ranking but not getting clicked'.

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 gives clear usage context: these queries are underperforming in clicks despite high impressions, and fixing them is 'typically higher ROI than chasing new rankings.' It also notes the prerequisite that Google Search Console must be connected, with a direct URL for setup. However, it doesn't explicitly mention when not to use this tool or name alternative tools, so it stops 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.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources