aqhi_forecast
PRO. AQHI forecasts for the nearest station (next periods), plus the current observation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| postal_code | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
PRO. AQHI forecasts for the nearest station (next periods), plus the current observation.
| Name | Required | Description | Default |
|---|---|---|---|
| postal_code | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It discloses one useful behavior (the station is resolved automatically as the 'nearest' to the caller) but says nothing about subscription gating despite the 'PRO' and access_token hints, nor about failure modes for ambiguous/invalid postal codes, forecast horizon, or rate limits.
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?
Two compact sentences with the primary output (forecast plus current observation) front-loaded; nothing is padded. The opaque 'PRO.' fragment is the one element that spends space without earning it.
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 no annotations, no output schema, and a required location parameter, the description is too thin: 'next periods' is undefined, units/index semantics of AQHI are not stated, and the meaning of 'PRO' (subscription requirement) is left for the agent to guess.
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 coverage is 50%: access_token is documented in the schema, but postal_code has no description. The phrase 'nearest station' does convey that the postal code is used for station resolution, which is genuine added meaning, but it doesn't specify accepted formats, country scope, or what happens with non-matching codes.
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 names a specific resource (AQHI forecasts for the nearest station, over the next periods) plus the current observation, so an agent knows what it returns. It does not explicitly differentiate itself from siblings such as air_quality, and the leading "PRO." token is unexplained, which slightly blunts the clarity.
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?
There is no statement of when to use this versus air_quality or region_watch, and no exclusions or prerequisites. The only implied guidance is that it is for forecasting rather than reporting, which the agent has to infer from the word 'forecasts'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.