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check_seo

Analyze HTML to identify SEO issues in meta tags, Open Graph, structured data, and technical elements for improved search engine optimization.

Instructions

Analyze HTML for SEO best practices. Checks meta tags, Open Graph, structured data, and technical SEO elements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
htmlYesHTML code to analyze
page_urlNoOptional: Page URL label for report context (not fetched)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It does not mention that the tool performs static analysis only, does not fetch the page_url, or indicate return format or error handling. This is insufficient for a tool with no annotation support.

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 two short sentences: a purpose statement followed by a list of checked elements. It is front-loaded, concise, and contains no filler.

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?

For a simple static analysis tool with no output schema, the description conveys the essential purpose and scope. It lacks details about the output format but is largely complete given the tool's complexity.

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%, so the schema already describes both parameters. The description adds broad context about what is analyzed but does not enhance parameter-specific semantics beyond the schema, meeting the baseline.

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 it analyzes HTML for SEO best practices and lists specific elements checked (meta tags, Open Graph, structured data, technical SEO). This verb+resource+scope is specific and distinguishes it from sibling tools like analyze_accessibility or analyze_performance.

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 implies usage for SEO analysis but does not explicitly state when to use versus alternatives or provide exclusions. It lacks explicit guidance on context, making it only adequate.

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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