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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful scope information beyond that: it requires no sign-in and touches only public pages and robots.txt, which explains the open-world read. It says nothing about request volume, timeouts, or what happens when robots.txt is missing or the product page fails to load.

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 content is front-loaded and each check is stated crisply, but the entire description is duplicated verbatim in Turkish and English, roughly doubling token cost without adding information for an agent that only needs one rendition.

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?

With no output schema, the description should indicate what the agent gets back (pass/fail per check, scores, recommendations), and it does not. Two of four parameters (country, language) remain unexplained, though the enumerated checks themselves give a good picture of the tool's scope.

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 description coverage is 0% and the schema gives only titles, so the description carries the full burden. It implies product_url by talking about 'structured product data on a product page' but never explains country or the language parameter (which defaults to 'tr'), nor the expected URL format for the required url.

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 names a specific verb and resource ('checks whether an e-commerce site is ready to be found and measured in AI assistants') and enumerates the concrete checks performed: robots.txt AI crawler permissions, structured product data fields, llms.txt/sitemap, and ChatGPT visit markers across redirects. It is far more specific than the title, but it never mentions the sibling tools check_site_measurement or diagnose_ad_report, so an agent cannot tell from the text which of the three to prefer.

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?

Usage is only implied through the audience ('an e-commerce site') and the explicit precondition 'No sign-in; reads only public pages'. There is no statement of when to call this versus check_site_measurement, nor any exclusion for non-e-commerce sites or sites behind authentication.

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