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Best Cherry Blossom Dates for Trip

sakura_best_dates
Read-onlyIdempotent

Find the best cities to view cherry blossoms during your trip dates. Compares your start and end dates with each city's full-bloom window to recommend destinations where sakura viewing is possible.

Instructions

Use this when the user provides travel dates and wants to know where sakura is likely to be best during that trip. Returns cities whose viewing window overlaps the requested date range, based on observed or forecast full-bloom dates. Do not use this for January-February early-bloom Kawazu requests; use kawazu_forecast for those.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYesTrip start date in YYYY-MM-DD format, for example '2026-04-08'. The tool compares this against each city's sakura viewing window.
end_dateYesTrip end date in YYYY-MM-DD format, for example '2026-04-14'. Must be on or after start_date.
Behavior4/5

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

Adds context about comparing against viewing windows based on observed/forecast full-bloom dates, complementing readOnly and idempotent annotations.

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?

Two sentences with no wasted words, front-loads purpose and usage boundary.

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?

Sufficient for a simple date-range tool with no output schema; covers purpose, usage, and boundaries.

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% with clear descriptions; description reinforces overlap logic but adds no new parameter details.

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 it returns cities whose viewing window overlaps requested date range, and distinguishes from sibling kawazu_forecast.

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?

Explicitly says when to use (user provides travel dates) and when not to (Kawazu early-bloom requests), naming the alternative tool.

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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