bricks_competitor_extract

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

Lists exactly what data is extracted (SEO meta tags, OG/Twitter, JSON-LD, H1 headings), but does not disclose limitations (e.g., URL accessibility, rate limits, error handling) or confirm that no destructive actions occur. With no annotations provided, the description carries full burden and is adequate but not comprehensive.

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, front-loaded with action verb 'Extract', and no redundant information. Every word adds value.

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?

Good for a simple extraction tool with one parameter. Lists the extracted data items, giving context on what the output will contain. However, no output schema exists, so describing the return format (e.g., JSON structure) would improve completeness.

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?

Only one parameter 'url' with schema coverage 100% (description: 'URL to extract SEO data from'). The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.

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?

Description clearly states the tool extracts specific SEO data (meta tags, OG/Twitter, JSON-LD, H1) from external URLs, and distinguishes from sibling SEO tools that analyze internal site data by specifying 'any external URL' and 'benchmarking against competitors'.

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?

Explicitly states it is useful for benchmarking against competitors, implying use for external competitor analysis rather than internal site SEO. No explicit when-not-to-use or alternative tools listed, but context is clear.

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