seo_meta_analyze

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

No annotations are provided, so the description carries the behavioral disclosure burden. It states the tool analyzes and returns an SEO score with actionable recommendations, which is reasonably transparent about what it produces. However, for an analysis tool with no annotations, it doesn't disclose potential cost (external HTTP requests), rate limits, or whether the page must be publicly accessible — leaving some gaps.

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

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

Two sentences, efficient and front-loaded. The first sentence states exactly what is analyzed, and the second states the output format. No wasted words, though it could arguably be one sentence.

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

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

For a single-parameter analysis tool with no output schema and no annotations, the description is fairly complete. It explains the analysis scope and what the return value (SEO score + actionable recommendations) looks like. It's adequate for an agent to invoke correctly, though it could benefit from noting what happens with non-HTML or inaccessible pages.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single URL parameter that's well-described as 'Full URL of the page to analyze.' The description adds context by signaling what analysis will be performed on that URL (meta/OG/Twitter tags). With full schema coverage, this is a strong baseline, and the description reinforces the parameter's purpose.

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

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

The description clearly states a specific verb+resource ('Analyze a page's meta tags, Open Graph tags, and Twitter Card tags') and differentiates via its SEO analysis scope. It's distinct from sibling tools focused on headings, links, keywords, speed, and sitemaps, though it doesn't explicitly name them.

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

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

The description implies its use for SEO meta analysis but provides no explicit guidance on when to use it versus alternatives. It doesn't mention exclusions or when not to use it. The sibling tools (heading check, link check, keyword density) suggest a broader SEO toolkit context, but the description doesn't leverage that to guide tool selection.

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