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

With no annotations, the description carries the full burden of behavioral disclosure, but it only mentions retrieving temperature. It does not disclose that parameters are discarded, that network calls are involved, or any other side effects. The schema hints at discarding but the description adds no 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 sentence with no wasted words, making it highly concise. However, its brevity borders on under-specification, though for conciseness it earns a high score.

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 tool with 9 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain the purpose of the other parameters, the return format, or when to use it, leaving an agent with almost no guidance beyond the schema.

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 is individually described. The tool description adds no additional meaning beyond the schema's per-parameter explanations, which already cover the semantics. Baseline 3 is appropriate since the schema does the heavy lifting.

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 'Current temperature for a city via Open-Meteo', which is a clear verb+resource, but the input schema includes 9 unrelated parameters (ref, url, json, path, zone, query, etc.) that suggest a broader generic hint tool. This mismatch makes the purpose ambiguous and fails to distinguish from siblings like geo-hint or lib-docs-hint.

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. The description does not mention any preconditions, exclusions, or sibling tools, leaving an agent without any contextual basis for selection.

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