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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the tool is classification-and-redirect only and touches no personal/account data, but says nothing about determinism, whether the returned URL is guaranteed, or how unmatched questions are handled.

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 tight sentences: the action and taxonomy come first, the exclusion last. No filler, no restatement of the tool name, nothing that could be cut.

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 must sketch the return value, and "return the next URL" plus the enumerated classes does that adequately for a simple classifier. The precise response shape (label alongside URL, fallback behavior) remains unspecified.

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 coverage is 100%, so both parameters are already documented in the schema, including the 500-character limit and the non-echoed pageUrl. The description adds only the classification taxonomy, which is about output labels rather than parameter meaning, so 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 and resource ("classify a public-site question"), enumerates the intent classes, and names the output ("return the next URL"). It does not distinguish itself from near-sounding siblings like understand_site or recommend_path, so an agent must infer the boundary rather than being told it.

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?

Scopes usage to "public-site question" traffic and adds a clear negative constraint: it does not look up any person or account, which prevents misuse for account-specific lookups. It stops short of naming alternatives (e.g., get_pricing or list_faqs) for cases that fall outside its taxonomy.

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