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Fruit Picking Season Calendar

fruit_seasons
Read-onlyIdempotent

Retrieves fruit season data for Japan, showing peak months, best regions, and notes for 14 fruits. Specify a month to see what is in season.

Instructions

Use this when the user asks what fruit is in season in a given month or which month is best for strawberries, grapes, peaches, apples, and similar picking trips. Returns the fruit season calendar, peak months, best regions, and notes for 14 fruits. Call fruit_farms next if the user needs actual farm listings, map coordinates, or booking links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthNoOptional month number from 1 to 12. Returns fruits in season during that month plus fruits starting the following month. Omit to return the full year calendar.

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 indicate read-only and idempotent behavior. Description adds context about returning calendar, peak months, regions, and notes for 14 fruits, which is valuable beyond the annotations. 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 sentences front-load the use case and return information. Every sentence is necessary, no redundancy. Highly efficient.

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?

Given the tool's simplicity (1 optional parameter, output schema present), the description fully covers what the tool does, what it returns, and how to proceed. No gaps.

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 description coverage is 100%, with the only parameter 'month' well-described in the input schema (range, behavior). Description does not add additional parameter semantics beyond what schema provides, so baseline score of 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?

Description clearly states the tool's purpose: returning fruit season info for a given month or best months for specific fruits. It uses specific verbs ('returns') and resource ('fruit season calendar'), and distinguishes from sibling 'fruit_farms' which handles farm listings.

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 states when to use (user asks about fruit seasons) and when not to (use fruit_farms for listings). Provides a clear alternative and next step, making selection unambiguous.

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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