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njoerd114

kubecon-eu-mcp

by njoerd114

plan_party_route

Plan an optimized evening route through Amsterdam parties. Parties sorted by time with location details; optionally filter by preferences such as networking or food.

Instructions

Plan an optimized party-hopping route for an evening.

Returns parties for the requested day sorted by time, with location details to help plan an efficient route through Amsterdam.

Args: day: Day name — "monday", "tuesday", "wednesday", or "thursday". preferences: Optional preferences like "networking", "food", "near venue", "open bar".

Returns: JSON with sorted party timeline and location context for route planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dayYes
preferencesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns a sorted timeline with location context, but does not specify side effects, error handling, or performance characteristics.

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?

The description is concise (45 words), front-loaded with the purpose, and each sentence contributes meaning without redundancy.

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?

Given no annotations and 0% schema coverage, the description provides sufficient guidance for day and preferences. The output schema exists so return format is documented. Missing edge cases (e.g., invalid day) but overall adequate.

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

Parameters5/5

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

With 0% schema description coverage, the description adds significant value by listing allowed day values and providing examples for preferences, which goes well beyond the bare schema types.

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 the tool plans an optimized party-hopping route for an evening in Amsterdam, with a specific verb and resource. It distinguishes from siblings like find_parties or get_schedule by focusing on route optimization and location details.

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

Usage Guidelines4/5

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

The description implies when to use the tool (planning a route) and mentions optional preferences, but does not explicitly state when not to use or provide alternatives such as find_parties or get_schedule.

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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