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zhangluka

grain-seo-mcp

by zhangluka

compare_engines

Compare SEO performance across Google and Bing by query, page, country, or device to identify where your site excels or lags.

Instructions

Compare performance data between Google and Bing for a specific dimension (query, page, etc).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteUrlYesThe URL of the site
dimensionYesDimension to compare
startDateYesStart date (YYYY-MM-DD)
endDateYesEnd date (YYYY-MM-DD)
minImpressionsNoMinimum impressions threshold
minClicksNoMinimum clicks threshold
limitNoMax rows to return per engine (default: 1000)
offsetNoOffset for pagination

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations provided, and the description lacks details on behavioral traits such as read-only nature, rate limits, authentication needs, or error handling. It only states 'compare performance data' without elaboration.

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 sentence that conveys the core purpose without redundancy. It is appropriately sized for a tool with clear intent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters, 4 required, and no output schema, the description lacks details on return values, pagination behavior of offset/limit, and the exact meaning of 'performance data'. It feels incomplete for an API call.

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 description adds minimal extra meaning beyond the schema. The mention of dimension aligns with the enum, but no new semantics are provided.

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 compares performance data between Google and Bing for a specific dimension, which distinguishes it from other analytics tools that focus on single engine or different metrics.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like analytics_query or bing_analytics_query. The description does not specify prerequisites, exclusions, or context for optimal usage.

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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