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recepgocmen

Blue Perfumery MCP Server

by recepgocmen

search_perfumes

Find perfumes by name or brand using the Blue Perfumery MCP Server. Enter a search query to explore the fragrance collection and access relevant purchase options.

Instructions

Search perfumes by name or brand

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for perfume name or brand
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the search functionality but doesn't describe any behavioral traits such as response format, pagination, rate limits, authentication needs, or error handling, which are critical for a search tool.

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 extremely concise and front-loaded in a single sentence, with zero wasted words. It directly communicates the core functionality without unnecessary elaboration, making it efficient and easy to parse.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like result format, limitations, or error cases, which are essential for a search tool. The simplicity of the tool (one parameter) doesn't compensate for these gaps in context.

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?

The schema description coverage is 100%, with the parameter 'query' fully documented in the schema as 'Search query for perfume name or brand'. The description adds no additional meaning beyond this, so it meets the baseline of 3 where the schema does the heavy lifting.

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?

The description clearly states the tool's purpose with a specific verb ('search') and resource ('perfumes'), and specifies the search criteria ('by name or brand'). However, it doesn't explicitly differentiate from sibling tools like 'list_all_perfumes' or 'get_perfumes_by_category' in terms of search methodology versus listing/filtering.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer this over 'list_all_perfumes' for broader queries, 'get_perfumes_by_category' for categorical filtering, or 'get_perfume_by_id' for known IDs, leaving usage context unclear.

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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