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Japan trip plan by city and month

japan_trip_plan
Read-onlyIdempotent

Where to stay, festivals and seasonal highlights, things to do, crowd level, weather, and warnings (Golden Week, Obon, rainy season, typhoons, New Year closures) for a Japanese city in a given month, with stay areas ranked for the traveler type and booking search links. Typical seasonal patterns, not live data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity id.
monthYes1-12 or English month name.
travelerNoOptional traveler type; ranks stay areas for them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds genuinely useful context beyond that: the output is typical seasonal patterns rather than live data, and it discloses the shape of the result set including ranked stay areas and booking links.

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

Conciseness4/5

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

A single dense sentence enumerates the payload, followed by a short qualifier that prevents a major misinterpretation. The content-heavy list is front-loaded and every clause carries information, though the enumeration is somewhat breathless.

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?

There is no output schema, so the description carries the burden of describing return values, and it does so thoroughly — items, warnings, crowd level, weather, ranked stays, and search links. Combined with annotations covering safety, an agent has everything needed to call it correctly.

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% and all three parameters are documented, so the baseline is 3. The description mentions that stay areas are ranked for the traveler type, but the schema already states this, so it adds no new parameter semantics.

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

Purpose4/5

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

The description names a specific resource and enumerates the exact contents returned (stay areas, festivals, crowd level, weather, warnings, booking links) scoped to a city and month. It reads as a concrete travel-planning generator, but it never distinguishes itself from the close sibling japan_trip_options, leaving the agent to infer the boundary.

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

Usage Guidelines3/5

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

There is no explicit when-to-use or when-not-to-use guidance, and no sibling is named as an alternative. The trailing 'Typical seasonal patterns, not live data' implicitly signals that this is for planning rather than real-time lookups, but usage is only implied.

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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