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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds nothing beyond that: it does not say what a classification result looks like, what intent categories exist, or how the model handles ambiguous input. For a classification tool with no output schema, that is a real gap.

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?

It is short, but brevity here comes from under-specification rather than economy. The bracketed '[agents]' prefix is noise, and nothing is front-loaded because there is no substance to front-load.

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 and no description of return values, an agent cannot know what label taxonomy or confidence data comes back. Given the crowded sibling namespace and a single undocumented parameter, the definition leaves the caller guessing about both input expectations and output shape.

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 0% for the single 'text' parameter; only a generic example string is provided. The description does nothing to explain constraints such as expected length, language, or whether the text is a user utterance vs. a system prompt, so it fails to compensate for the low coverage.

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 '[agents] Agent intent classification' merely restates the tool name and title in slightly different words. It gives no verb describing the operation and no distinction from siblings like agents_plan or agents_contradiction, all of which are also 'agent' utilities.

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 is no indication of when to call this rather than text_keywords, text_sentiment, agents_plan, or any other sibling. No preconditions, no exclusions, no alternatives are named.

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