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zhangluka

grain-seo-mcp

by zhangluka

opportunity_matrix

Combine signals from Google Search Console, GA4, and Bing to identify and prioritize SEO tasks that have the highest impact.

Instructions

Prioritize SEO tasks by combining signals from GSC, GA4, and Bing

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gscSiteUrlYesGSC Site URL
bingSiteUrlYesBing Site URL
ga4PropertyIdYesGA4 Property ID
startDateYesStart date (YYYY-MM-DD)
endDateYesEnd date (YYYY-MM-DD)
limitNoMax results (default 20)
ga4AccountIdNoOptional GA4 account ID
gscAccountIdNoOptional GSC account ID
bingAccountIdNoOptional Bing account ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior1/5

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

No annotations are provided, and the description lacks any behavioral details such as side effects, mutability, rate limits, or return format. It only states intent ('combining signals') without disclosing what the tool actually does.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that efficiently conveys the core purpose. It is front-loaded, but could be slightly more structured with clear sections.

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 the complexity (9 parameters, no output schema, mixed sources), the description is incomplete. It does not explain return values, how parameters interact, or what 'prioritize' means operationally.

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 baseline is 3. The description does not add any additional meaning beyond the parameter names and short descriptions in the schema (e.g., 'GSC Site URL').

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: 'Prioritize SEO tasks by combining signals from GSC, GA4, and Bing'. It uses a specific verb ('prioritize'), identifies the resource ('SEO tasks'), and explicitly names the data sources, distinguishing it from sibling tools that focus on single sources.

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?

The description provides no guidance on when to use this tool over alternatives like bing_opportunity_finder or seo_recommendations. It does not mention prerequisites, contexts, or exclusions.

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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