pollen_uv
Retrieve pollen count and UV index for a city region using DWD open data.
Instructions
Pollenflug und UV-Index der Grossregion einer Stadt via DWD.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Retrieve pollen count and UV index for a city region using DWD open data.
Pollenflug und UV-Index der Grossregion einer Stadt via DWD.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool is clearly safe and idempotent. The description adds that data comes from DWD and is for the 'Grossregion' (greater region), providing minor extra context. No behavioral contradictions are present.
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 that directly states the tool's purpose. It is front-loaded and concise, but the lack of parameter explanation reduces effectiveness. Still, no wasted words.
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?
Given the simplicity of the tool (one param, no output schema) and comprehensive annotations, the description partially suffices by stating the main function. However, the missing explanation of the 'slug' parameter leaves a gap, making it incomplete for an agent to invoke 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?
The input schema has one required parameter 'slug' with zero description coverage. The description mentions 'der Grossregion einer Stadt' but does not explain what 'slug' is or provide any format, examples, or constraints. This leaves the agent uncertain about how to obtain the correct slug value.
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 it provides pollen and UV index data for a city's greater region via DWD, specifying the verb (retrieves) and resource (pollen/UV). However, it does not differentiate from sibling tools like air_quality or weather, which might also provide some overlapping data.
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 over alternatives. There is no mention of context, prerequisites, or conditions. An agent has no basis to choose this over related tools like air_quality or weather.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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