batch_forecast
PRO. Forecasts for up to 8 prefectures.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| prefectures | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
PRO. Forecasts for up to 8 prefectures.
| Name | Required | Description | Default |
|---|---|---|---|
| prefectures | 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 disclosure burden. It does not state the authentication requirement explicitly (only the schema's access_token field hints at it), what happens if more than 8 prefectures are supplied, whether calls count against a quota, or what the response contains. For a PRO-tier tool, the subscriber gating should be spelled out.
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 short, front-loaded sentences with no filler. The leading 'PRO.' token is terse to the point of being cryptic, but nothing is wasted.
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?
With no annotations and no output schema, the description must cover behavior and results on its own, and it does not. An agent still cannot tell what a forecast contains, how errors (e.g. 9 prefectures, invalid token) are surfaced, or how this relates to the sibling tools.
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, while 'prefectures' has no schema description. The description compensates partially by stating the maximum of 8 items, which is real added meaning not encoded in the schema. It says nothing about accepted name formats, duplicates, or ordering of results.
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?
States the verb 'Forecasts' and a scoping limit ('up to 8 prefectures'), so the batch nature is visible. But it never says what is being forecast or how it differs from the sibling tool 'forecast', leaving the agent to infer that this is the multi-prefecture variant. 'PRO' is a tier marker, not a purpose statement.
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 on when to choose this over the sibling 'forecast' or 'overview'. The only implicit cue is 'PRO', which hints at a subscriber requirement but does not state it as a condition. The agent must guess whether batch is preferred for multiple prefectures or whether forecast also accepts lists.
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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