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Suggest an outfit

suggest_outfit
Read-only

Get curated outfit formulas for an occasion and weather. Occasions: casual, school, work, date, party, friends, formal.

Input Schema

NameRequiredDescriptionDefault
occasionYesThe occasion (required)
wind_kmhNoWind speed in km/h — 25+ changes footwear advice (optional)
conditionNoWeather condition — rain/snow change the outfit, clouds do not (optional)
temperature_cNoOutside temperature in °C (optional)
temperature_max_cNoAfternoon high in °C (optional)
temperature_min_cNoMorning low in °C — with max, unlocks layering advice for big day swings (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that output is 'curated outfit formulas' (i.e., preset recommendations, not personalized styling), but discloses nothing about permissions, determinism, or return shape beyond that.

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, purpose front-loaded, occasion list trailing. Zero filler; every clause carries information the agent needs to form the call.

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

Completeness3/5

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

Read-only tool with no output schema, so the description needn't explain returns — but 'curated outfit formulas' is vague about what actually comes back, and with no guidance against the near-identical sibling the definition is only minimally sufficient for correct selection.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description enumerates the valid occasion values (casual, school, work, date, party, friends, formal) while the schema carries no enum and only says 'The occasion (required)'. That enumeration is real added meaning at call time.

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?

Specific verb+resource: 'Get curated outfit formulas for an occasion and weather', with an enumerated list of occasions. Clear what it produces, but nothing distinguishes it from the sibling what_to_wear_today, which sounds like the same job.

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

Usage Guidelines2/5

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

No when-to-use, when-not-to-use, or alternative routing. The sibling 'what_to_wear_today' overlaps heavily with this tool's stated purpose, and the description gives the agent no basis for choosing between them.

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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