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zhangluka

grain-seo-mcp

by zhangluka

seo_recommendations

Analyze site performance data to generate actionable SEO recommendations for improving search visibility and traffic.

Instructions

Generate SEO recommendations based on site performance data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteUrlYesThe site URL (e.g., https://example.com)
daysNoNumber of days to analyze (default: 28)
engineNoThe search engine (default: google)
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 side effects, authorization needs, rate limits, or output format. The verb 'generate' suggests a non-destructive operation, but this is not explicit.

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 of 9 words, highly concise and front-loaded. Every word adds value.

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

Completeness3/5

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

The description is sufficient for a simple tool with three parameters and no output schema, but it lacks details on return values or pagination.

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 baseline is 3. The description adds no additional meaning beyond what is already in the schema.

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 tool generates SEO recommendations based on site performance data. However, it does not distinguish from sibling tools like seo_quick_wins or seo_low_hanging_fruit, which could cause confusion.

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. There is no mention of prerequisites, when-not to use, or context for selection.

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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