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Noteboxd Fragrance MCP (remote)

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesFragrance UUID to get the review digest for
contextYesExplain 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."
response_formatNomarkdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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 readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the data is public and cached per fragrance, which tells the agent results are stable and cheap to re-request.

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 one-line routing hint, with the core purpose front-loaded before the disambiguation. Every clause carries information; nothing is restated from the name or annotations.

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?

For a read-only digest tool with no output schema, the description adequately conveys what comes back (themes, consensus, standout opinions) and the public/cached nature. Only the unexplained response_format enum keeps it from being fully complete.

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 moderate (67%) and the description adds no parameter-level detail at all. The heavily-documented 'context' parameter is fully explained by the schema, but response_format has an enum with no description in either place, so the description misses a chance to compensate.

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 content shape (key themes, consensus, standout opinions). The 'See also' line contrasts it with fragrance_get_reviews and fragrance_get, so an agent can pick it without opening other schemas.

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 sibling routing line makes the choice clear: digest for summarized consensus, fragrance_get_reviews for individual reviews, fragrance_get for the full profile. It stops short of an explicit 'use this when you want X rather than Y' rule, but the alternatives and their scopes are supplied.

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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