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

Annotations already declare readOnlyHint=true and destructiveHint=false, which covers safety. The description adds 'Returns: ok,' but this is ambiguous—it could mean the tool returns the constant string 'ok' or that it completes successfully. It does not explain what the actual output is (e.g., the content of llms.txt), and this could mislead an agent expecting the file's text.

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 extremely concise, consisting of one short phrase plus a return note. It is front-loaded with the key resource name and purpose. Every word earns its place, and there is no redundant elaboration.

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 zero-parameter read-only tool, the description provides enough to know what the tool targets, but it lacks clarity on the return value. The 'Returns: ok' line is unhelpful because it doesn't specify whether the tool returns the llms.txt content or a status code. Given no output schema, the description should be more explicit about what the agent will receive.

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 is empty (no parameters), so the baseline is 4. The description does not need to explain parameters, and it correctly says nothing about them. Since there are no parameters to clarify, this score reflects the tool's simplicity.

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 identifies the resource (llms.txt) and describes it as an 'AI-readable overview of the site,' which distinguishes it from sibling tools like get_robots_txt and get_health. The verb 'get' is implied by the tool name, but the description makes the purpose unambiguous.

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 usage when an AI agent needs the site's llms.txt file, but it provides no explicit guidance on when to use this tool versus alternatives like get_health or get_robots_txt. There are no exclusions or context about when not to use it, so it relies on the tool name and resource mention to convey usage.

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