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

No annotations are provided, so the description must fully disclose behavior, but it only mentions the primary weather use case. The input schema includes 9 unrelated parameters (e.g., ref, url, feed, json, path, zone) whose descriptions indicate they are 'discarded after checks' or used for other purposes, implying the tool may have additional modes. This is never disclosed, so an agent cannot predict the tool's behavior for other inputs. It also omits any side effects, output format, or API details.

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, efficient sentence with no fluff. It immediately states the core function and data source, earning its place. However, it is too terse given the tool's apparent multi-parameter nature, sacrificing necessary detail for brevity.

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 output schema, and no annotations. The description only covers the city/temperature case, leaving the other 8 parameters unexplained. An agent cannot know what the tool returns or how to correctly invoke it for non-weather cases. This is a severe gap for a tool with this complexity.

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 each parameter already has a description. The tool description adds no extra meaning for any parameter, staying at the baseline 3. It does not clarify how the 'city' parameter interacts with the others or which parameters trigger the weather hint.

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 a specific verb-resource: 'Current temperature for a city' with the data source 'Open-Meteo'. It clearly differentiates from sibling tools (e.g., geo-hint, timezone) that handle other location or time concepts, making the primary function unmistakable.

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 given on when to use this tool versus alternatives. There is no mention of scenarios where other tools would be preferred, nor any preconditions or examples. The description only states what it does, leaving usage entirely to inference.

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