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search_bottles

Read-onlyIdempotent

Full-text search across 4,700+ bourbons, ryes, scotches, and other spirits in the Pour Picks database. Filter by category, price (USD), and proof. Returns structured tasting profiles with source attribution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 10, max 10)
queryNoFree-text search: distillery, bottle name, or expression
categoryNoSpirit category filter
price_maxNoMaximum price in USD
price_minNoMinimum price in USD
proof_maxNoMaximum proof
proof_minNoMinimum proof

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / limit / description
      Previous value: -"Max results (default 10)"New value: +"Max results (default 10, max 10)"
    • changedInput schema / properties / limit / maximum
      Previous value: -25New value: +10
  2. Changed1 schema field changed
    • addedInput schema / properties / query / maxLength
      Added value: +120
  3. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds meaningful context by stating the database scale (4,700+ spirits) and that results include structured tasting profiles with source attribution, which goes beyond the annotation-provided safety profile.

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 two sentences with no redundancy. It leads with the core action and resource, then lists filters, then the return format. Every word serves a purpose, and it is easy to scan.

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?

Given the high schema coverage, the annotations cover safety, and the description describes the output as structured tasting profiles with attribution, the tool is largely complete. However, it could be slightly more explicit about the return being a list of profiles (though plural implies it), and it does not mention pagination or default limits, which are already in the schema.

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 every parameter is documented in the input schema. The description only restates the filterable fields (category, price, proof) without adding new semantic detail, meeting the baseline but not exceeding it.

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?

The description clearly states the tool performs full-text search across a specific database of spirits, and explicitly mentions filters for category, price, and proof. It distinguishes itself from sibling tools like find_similar or compare_bottles by emphasizing its general search nature, making it unambiguous for an agent.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives such as find_similar, get_recommendations, or trending_bottles. It is implied that this is the general search entry point, but there is no explicit guidance on exclusions or conditions for choosing a sibling tool, leaving some inference required.

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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