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Best Autumn Leaves Dates for Trip

koyo_best_dates
Read-onlyIdempotent

Enter autumn trip dates to get cities where maple or ginkgo viewing windows overlap your travel, based on forecast peak dates.

Instructions

Use this when the user gives autumn travel dates and wants the best cities during that window. Returns cities whose maple or ginkgo viewing windows overlap the trip, based on forecast peak dates. Do not use this for general climate questions or for exact park recommendations without dates; use koyo_spots when the prefecture is already known.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYesTrip start date in YYYY-MM-DD format, for example '2026-11-20'. The tool checks whether each city's koyo window overlaps this date.
end_dateYesTrip end date in YYYY-MM-DD format, for example '2026-11-27'. Must be on or after start_date.
Behavior5/5

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

Description adds behavioral context beyond annotations: explains it checks viewing windows against trip dates and returns cities based on forecast peak dates. Annotations already indicate read-only and idempotent behavior, no contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Very concise: three sentences covering purpose, return values, and usage guidance. No fluff, front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a simple two-parameter tool with clear annotations. Returns cities with overlapping windows; lacking output schema but description sufficiently conveys what the tool produces. Could specify output format but not essential.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the description adds minimal extra meaning. It reinforces the date range concept but does not provide additional parameter-level details beyond what the schema already offers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool's purpose: given autumn travel dates, returns cities whose viewing windows overlap. Distinguishes from siblings by explicitly referencing koyo_spots as alternative when prefecture is known.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use ('when user gives autumn travel dates') and when-not ('do not use for general climate questions or exact park recommendations without dates'). Names alternative sibling tool (koyo_spots) for specific cases.

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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