get_special_weather_tips

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

There are no annotations, so the description must carry the full burden of behavioral disclosure. It only says 'including tips list and update,' which is vague and does not clarify what the tool returns, whether it is read-only, or any side effects. No additional behavioral context is provided.

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 a single, concise sentence that front-loads the main purpose. It contains no filler. However, the phrase 'including tips list and update' is awkward and slightly ambiguous, though it doesn't detract much from conciseness.

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?

The tool is simple with one optional parameter and an output schema, so return values are likely covered. However, the description lacks usage context, fails to explain the output ('tips list and update'), and provides no behavioral details. It is minimally adequate but with clear gaps for an agent deciding when to invoke it.

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 schema has one parameter 'lang' with a default, but the description provides zero explanation of it. With 0% schema description coverage, the description should compensate, but it doesn't. The parameter name is self-explanatory ('lang' likely means language), but the description adds no value beyond the schema.

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 states the tool fetches special weather tips for Hong Kong, using a specific verb ('get') and resource ('special weather tips'). It is distinct from sibling tools that handle forecasts, warnings, and tides. However, it doesn't explicitly differentiate from other tools or clarify what 'tips list and update' means, so it misses the top score.

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 is provided on when to use this tool versus alternatives in the sibling list. The description does not mention any scenarios, exclusions, or distinctions from similar weather data tools, leaving the agent without context for tool selection.

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