nearest_station
FREE. Nearest Environment Canada climate station to a Canadian postal code, with the last 3 daily observations (max/min/precip).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| postal_code | Yes |
FREE. Nearest Environment Canada climate station to a Canadian postal code, with the last 3 daily observations (max/min/precip).
| Name | Required | Description | Default |
|---|---|---|---|
| postal_code | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It discloses that the tool is free and describes the returned observations (last 3 daily max/min/precip), but it omits permissions, error behavior for invalid postal codes, units, and whether the call is read-only.
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 front-loaded sentence with no wasted words. It states cost, action, input scope, and return content efficiently.
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 simple lookup tool with no output schema, the description covers the core action and return contents. However, it leaves out units, output structure, and error behavior, which an agent may need to interpret results 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 0%, so the description must compensate. It adds that the input is a Canadian postal code, which is useful beyond the bare string type, but it does not specify formatting, case, spacing, or validation rules.
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 and resource: finding the nearest Environment Canada climate station to a Canadian postal code, and it also says it returns the last 3 daily observations. It does not explicitly differentiate itself from the sibling tools compare_stations and daily_history, so it falls short of a 5.
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 explicit guidance on when to use this tool versus compare_stations or daily_history, nor any exclusions or prerequisites. Usage is only implied by the tool's purpose.
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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