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

No annotations are provided, so the description carries the full transparency burden. It mentions Open-Meteo, which implies a network service, but it reveals nothing about side effects, rate limits, what gets discarded, whether inputs are strictly ephemeral, or what assumptions exist about the selected input. The schema parameter notes ('discarded after the call', 'no disk access') are not part of the tool description and are not enough to compensate.

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 short sentence and is front-loaded, giving the reader the essential output and source first. However, for a tool with 9 optional parameters and no output schema, this brevity is under-specification rather than well-calculated concision. It could still be concise and useful with one or two more sentences linking parameters to purpose.

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 has 9 optional parameters, no annotations, and no output schema, so the description must do more heavy lifting. It fails to state which field is the place, how the other fields are relevant, and what expected behavior is. An agent seeing this description cannot safely select or call the tool correctly.

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 100%, so the baseline for this dimension is 3. The description itself adds no parameter-level meaning: it never connects 'place' to the 'city', 'query', or any other field. It does not confuse the parameters, but it also does not elevate the agent's understanding beyond what the schema already states.

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 states that the tool returns latitude and longitude for a place via Open-Meteo, so it names the output and the data source. However, it never says which of the 9 optional input parameters contains the 'place', and it provides no differentiation from siblings like weather-hint or timezone. It is more than a tautology, but too vague for an agent to know how to invoke 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?

The description gives no guidance about when to use geo-hint versus the many sibling tools, nor does it explain which parameter is relevant. It only implies 'use this when you need coordinates', but with 9 optional inputs and no exclusions or alternative names, the agent gets no directional help.

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