mock_weather

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

With no annotations provided, the description carries the full burden. 'Return' indicates a read-only, side-effect-free operation and 'mock' signals synthetic/non-real data. However, it does not disclose whether the output is random, deterministic, or reflects real-world conditions, which could be relevant behavioral context.

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, front-loaded sentence with no filler or redundant wording. It is appropriately concise for a simple tool, though it sacrifices some beneficial detail about parameter usage and output behavior.

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 one-parameter mock tool with an output schema, the description is minimally sufficient but not complete. It lacks explicit guidance on the city parameter and any usage caveats. The presence of an output schema reduces the need to describe return values, but usage guidance is still absent.

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%, and the description does not mention the 'city' parameter or explain how it is used. The property name and type are self-explanatory to an extent, but the description adds no parameter-level meaning and does not compensate for the missing schema descriptions.

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?

Description states a clear action, 'Return', and a distinct resource, 'mock weather information'. It is easily distinguishable from sibling tools like add, word_count, and current_time. The word 'mock' also clarifies that the data is simulated, which is a useful differentiator.

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 this tool is for retrieving mock weather data, but it does not explicitly state when to use it versus alternatives. There is no guidance on when not to use it or mention of sibling tools. The separation from arithmetic and text tools is obvious, but the usage context is only implied.

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