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find_similar

Read-onlyIdempotent

Fragrances most similar to a given one, from Perfume Picks' precomputed similarity ranking over notes and accords.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 5)
fragranceYesFragrance slug or name

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / limit / maximum
      Previous value: -15New value: +10
  2. Changed1 schema field changed
    • addedInput schema / properties / fragrance / maxLength
      Added value: +200
  3. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is fully covered elsewhere. The description adds real value by revealing that results come from a precomputed note/accord similarity ranking (implying deterministic, non-generative output), but says nothing about result format, ordering guarantees, or what happens for an unknown slug.

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?

A single tight sentence with the core purpose front-loaded and the methodological qualifier trailing it. Nothing is redundant and nothing needs trimming.

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?

With no output schema, the description should say what a result looks like (slugs, names, similarity scores, whether the source fragrance is included), and it does not. The core intent and the similarity basis are present, so it is adequate but leaves an agent guessing about the response shape.

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%, so both 'fragrance' and 'limit' are already documented, including the default of 5 and the cap of 10. The description adds no parameter meaning beyond that, which is the baseline case for fully-covered schemas.

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?

States a specific resource ('fragrances most similar to a given one') and even the mechanism ('precomputed similarity ranking over notes and accords'), which is more than most siblings offer. It stops short of contrasting with near-neighbors like find_dupes or get_recommendations, so an agent must still infer the boundary itself.

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?

There is no when-to-use or when-not-to-use guidance and no named alternative, despite three plausible siblings (find_dupes, get_recommendations, compare_fragrances) that an agent could confuse this with. The one differentiating clue, 'similar by notes and accords', is buried as a methodology note rather than routing advice.

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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