analyze_robots

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no indication of what the analysis produces, whether it distinguishes index/noindex/nofollow directives, or how it behaves on pages lacking a robots meta tag.

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?

A single tight sentence with no filler, front-loaded with the verb and resource. It is efficient, though its brevity is partly under-specification rather than disciplined concision.

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 annotations, no output schema, and no parameter documentation, the description is the only source of context and it is insufficient: an agent cannot predict what the tool returns or how to interpret a null/absent result.

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%, so the description would ideally explain the url parameter, which it does not. The single parameter is a self-evident URI, which keeps this at a minimum-viable level rather than a failing one.

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 (Analyze) and resource (the robots meta directive of a webpage), which is clear enough to distinguish from the near-named sibling analyze_robots_txt. However, it never clarifies the distinction explicitly, so an agent could still confuse the two.

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?

No guidance on when to use this versus analyze_robots_txt, analyze_meta, or the many other analyze_* siblings. The agent must infer the trigger condition (page contains a robots meta tag) entirely on its own.

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