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

With no annotations, the description carries the full burden. It discloses a key behavioral trait: the check is performed live against the site itself, not self-reported. This is important for trust. It also implies a read-only operation (a check) without stating potential side effects, but that is reasonable. It does not mention any failure modes or specific HTTP behaviors, but for a simple check tool this is adequate.

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 a single, well-structured sentence. It front-loads the primary purpose ('Checks whether a WordPress site (or any website) is ready') and then enumerates the specific checks. There is zero waste, and every clause adds value. It is concise without being under-specified.

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 tool with one parameter, no output schema, and no siblings, the description covers the essential context: what is checked, the live nature, and the scope (WordPress or any website). The main gap is that it does not describe the return value format (e.g., pass/fail, detailed report). Since there is no output schema, the description should ideally hint at what the agent can expect back, but given the simplicity of the tool, this is a minor omission.

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 100% – the `url` parameter has a clear description in the schema ('The site URL to check, e.g. https://example.com'). The tool description adds no additional information about the parameter beyond what the schema already provides. Baseline of 3 is appropriate because the schema does the heavy lifting and the description does not introduce extra semantics.

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: checking a site's readiness for AI agents. It lists the specific aspects checked (llms.txt, robots.txt directives, schema.org markup, WebMCP manifest), which goes beyond a generic statement and gives the agent a concrete understanding of what is evaluated. The live-check note adds clarity on the verification method.

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?

There are no sibling tools, so explicit differentiation isn't needed. The description implies usage: use this when you need to verify a site's readiness before operating it with AI agents. However, it does not explicitly state when NOT to use it or mention any prerequisites (e.g., valid URL, reachable site). The context is clear enough but not fully explicit.

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