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

No annotations exist, so the description carries the full burden — and it does disclose the operation's substance: which endpoints and crawler directives are fetched, and that the result includes a 0-100 score and a deployable /llms.txt template. It stops short of stating read-only nature, rate limits, or handling of unreachable hosts.

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 front-loaded sentences with no filler; the check list is dense but every item is informative. Slightly long enumeration keeps it from a 5.

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, annotation-free audit tool with no output schema, the description covers what is inspected and what is returned, which is what an agent needs. Only edge-case behavior (invalid domain, fetch failures) is unaddressed.

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%, so the domain parameter's format (root domain, no protocol) is already fully documented in the schema. The description adds nothing about the parameter, so the baseline 3 applies.

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?

States a specific verb (audit) plus the exact resource and scope: LLMO/GEO readiness for a domain across ChatGPT, Perplexity, and Claude. It also enumerates the concrete artifacts checked and the deliverables, so an agent can distinguish this from the email-security or broker-audit siblings at a glance.

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 when to use it (assessing AI-search crawlability of a domain) but gives no explicit when-not conditions and never names or routes to a sibling. Usage is inferable rather than spelled out.

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