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Seasonal Flower Spots

flowers_spots
Read-onlyIdempotent

Find curated flower spots for non-sakura blooms like plum, wisteria, and hydrangea. Get peak viewing windows, official URLs, and GPS coordinates.

Instructions

Use this for non-sakura flower trips such as plum, wisteria, hydrangea, lavender, sunflower, or cosmos. Returns curated flower spots with peak windows, official URLs, notes, and GPS coordinates. Do not use this for cherry blossom or autumn leaves timing; use the sakura or koyo tools for those live forecasts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOptional flower type filter. Allowed values: 'all', 'plum', 'nanohana', 'wisteria', 'iris', 'hydrangea', 'lavender', 'sunflower', or 'cosmos'. Omit or use 'all' to return every flower type.
prefectureNoOptional prefecture filter such as 'Kanagawa', 'Kyoto', 'Tokyo', or 'Hokkaido'. Partial case-insensitive matches are supported.
monthNoOptional month number from 1 to 12. Returns only flower types whose curated season includes that month, for example 4 for wisteria or 6 for hydrangea.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYesThe tool's user-facing answer as Markdown or JSON text.
Behavior4/5

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

Annotations already declare readOnly and idempotent, so the description adds value by detailing the returned data (peak windows, URLs, notes, GPS). No contradictions.

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 clear, front-loaded sentences with zero waste. Every sentence provides essential information.

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

Completeness5/5

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

With 100% schema coverage, an output schema, and clear purpose/usage guidelines, the description is fully adequate for the tool's complexity.

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 does not need to add parameter details. It mentions output fields but not parameter specifics. Baseline 3 is appropriate.

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?

The description clearly states it is for non-sakura flower trips (plum, wisteria, etc.) and returns curated spots with specific details. It explicitly distinguishes from sakura and koyo tools.

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 tells when to use (non-sakura flowers) and when not to (cherry blossom or autumn leaves), with specific alternatives (sakura or koyo tools).

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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