generate_meta

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'analyzes page content' and 'provides recommendations,' implying a read-only analysis function, but doesn't clarify if it modifies data, requires authentication, has rate limits, or what the output format looks like. For a tool with no annotations, this leaves significant behavioral 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?

The description is concise and front-loaded, stating the core purpose in the first sentence. The second sentence elaborates on the analysis process without redundancy. Both sentences add value, making it efficient with minimal waste.

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?

Given the complexity (SEO analysis tool with 4 parameters) and the absence of annotations and output schema, the description is moderately complete. It covers the what and how at a high level but lacks details on behavioral traits, output format, and differentiation from siblings. It's adequate as a minimum viable description but has clear gaps for effective agent use.

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?

The input schema has 100% description coverage, so the schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain how 'domain' and 'url_path' interact or provide examples of meta tag outputs). With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but doesn't detract either.

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 the tool's purpose: 'Generate optimized meta tags (title, description, OG tags) for a page.' It specifies the resource (meta tags) and the action (generate/optimize), and mentions SEO optimization. However, it doesn't explicitly differentiate from sibling tools like 'get_page_seo' or 'generate_schema', which might have overlapping SEO-related functions.

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 provides minimal usage guidance. It mentions analyzing page content for recommendations, but doesn't specify when to use this tool versus alternatives like 'get_page_seo' (which might retrieve existing SEO data) or 'generate_schema' (which might handle structured data). No explicit when-not-to-use scenarios or prerequisites are included.

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