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zhangluka

grain-seo-mcp

by zhangluka

bing_brand_analysis

Compare brand and non-brand keyword performance on Bing to identify traffic sources and optimize SEO strategy.

Instructions

Analyze Brand vs Non-Brand performance on Bing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteUrlYesThe URL of the site
brandRegexYesRegex matching brand terms (e.g. 'acme|acmecorp')
daysNoNumber of days to analyze (default 28)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits like data requirements, rate limits, or side effects. It merely states the purpose without additional context.

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, front-loaded sentence with no unnecessary words, efficiently conveying the tool's purpose.

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?

The tool has no output schema, yet the description does not explain what the analysis returns (e.g., data format, metrics). Combined with missing usage guidelines, the description is incomplete for effective agent invocation.

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 coverage is 100% (all three parameters described). The description does not add any extra meaning beyond the schema. Baseline score of 3 is appropriate since the schema already defines the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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

The description clearly states the verb 'Analyze' and the resource 'Brand vs Non-Brand performance on Bing', distinguishing it from similar tools like 'brand_analysis' by specifying the search engine. However, it does not explicitly differentiate from all siblings.

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 is provided on when to use this tool versus alternatives, such as the sibling 'brand_analysis' tool. No prerequisites or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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