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Fragrance & Perfume MCP (Noteboxd)

fragrance_review_digest

Read-onlyIdempotent

Get a concise AI-generated digest summarizing a fragrance's community reviews — key themes, consensus, and standout opinions. Public, cached per fragrance.

See also: fragrance_get_reviews for individual reviews · fragrance_get for full profile.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>",
      "context": "<context>"
    },
    "name": "fragrance_review_digest"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesFragrance UUID or CUID to get the review digest for
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
response_formatNomarkdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • addedInput schema / properties / id / anyOf
      Added value: +[
      +  {
      +    "format": "uuid",
      +    "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      +    "type": "string"
      +  },
      +  {
      +    "format": "cuid",
      +    "pattern": "^[cC][0-9a-z]{6,}$",
      +    "type": "string"
      +  }
      +]
    • changedInput schema / properties / id / description
      Previous value: -"Fragrance UUID to get the review digest for"New value: +"Fragrance UUID or CUID to get the review digest for"
    • removedInput schema / properties / id / format
      Removed value: -"uuid"
    • removedInput schema / properties / id / pattern
      Removed value: -"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    • removedInput schema / properties / id / type
      Removed value: -"string"
  2. Changed2 schema fields changed
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "id"
      -]New value: +[
      +  "id",
      +  "context"
      +]
  3. Changed2 schema fields changed
    • addedInput schema / properties / id / format
      Added value: +"uuid"
    • addedInput schema / properties / id / pattern
      Added value: +"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
  4. Changed3 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / properties / context
      Removed value: -{
      -  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      -  "type": "string"
      -}
    • changedInput schema / required
      Previous value: -[
      -  "id",
      -  "context"
      -]New value: +[
      +  "id"
      +]
  5. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds meaningful context beyond them: the content is AI-generated (a synthesis, not verbatim data), public, and cached per fragrance — the caching note hints that results may be stale, which matters for an agent reasoning about freshness.

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 plus a compact see-also line. The purpose and digest contents come first, followed by the public/cached qualifier and then routing, which is the right order and contains no filler.

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?

With no output schema, the description usefully enumerates what the digest returns (themes, consensus, standout opinions) and discloses that it is AI-generated and cached. It leaves the response_format parameter's effect unexplained, which is a small but real gap for a tool that can return either markdown or JSON.

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 coverage is 67%: 'id' is fully documented as a UUID or CUID and 'context' carries an extensive usage contract. The one gap is 'response_format', whose enum (markdown/json) has no description, and the description adds no parameter-level meaning beyond the schema. Baseline 3 is appropriate given the schema does most of the work.

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?

States a specific verb and resource ('Get a concise AI-generated digest summarizing a fragrance's community reviews') and enumerates the digest contents (key themes, consensus, standout opinions). The see-also line explicitly separates it from fragrance_get_reviews and fragrance_get, so an agent can distinguish it from siblings without opening a schema.

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 'See also' line names both alternatives and implies the selection rule: use this for a synthesized digest, fragrance_get_reviews for individual reviews, fragrance_get for the full profile. It stops short of an explicit when-not statement (e.g. fragrances with few reviews, or when raw review text is needed), so it is clear context rather than complete routing guidance.

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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