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seo_check

Read-only

Run a monthly SEO and GEO audit to check content health, track AI citations, identify competitive gaps, and score technical SEO and freshness.

Instructions

Monthly SEO/GEO Audit — content health, AI citation tracking, competitive gaps, technical SEO, content freshness scoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
market_nameYesThe market/pipeline slug
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool is clearly a safe read operation. The description adds useful context about audit areas but does not disclose additional behavioral traits such as data sources or rate limits. It does not contradict 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 a single, well-structured sentence that front-loads the tool's identity and lists key audit components concisely. Every part adds value with no superfluous words.

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?

Given the tool's low complexity (1 parameter, no output schema), the description covers the main purpose and scope. However, it omits details about the output format or results, which would be helpful since there is no output schema. Overall, it is nearly complete for the tool's nature.

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 a description for the only parameter 'market_name'. The tool description does not add any further meaning beyond what is already in the schema, so it meets the baseline without adding value.

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 performs a 'Monthly SEO/GEO Audit' and lists specific areas covered, making the purpose clear. However, it does not explicitly differentiate from sibling tools like 'traffic_analytics' or 'scout', which may cause confusion about when to use this tool versus others.

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

Usage Guidelines3/5

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

The description mentions 'Monthly' implying periodic use, but provides no guidance on when to use this tool over alternatives or any prerequisites. It lacks explicit context about appropriate scenarios or exclusions, leaving the agent to infer 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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