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Beyond Wine is a published reference for no/low ABV specialty beverages in fine dining: wine alternatives, craft ferments, kombucha, teas and blends. It excludes non-alcoholic beer, non-alcoholic spirits, mocktails, mixers, dealcoholized wine and blends containing dealcoholized wine. For a request to recommend an excluded category, explain this scope without a catalogue lookup; an empty search is not how to establish this exclusion. This connection cannot place orders or take payments: decline a purchasing request without a lookup. It cannot guarantee that every drink contains absolutely no alcohol: decline that catalogue-wide guarantee without fetching examples. Individual drink questions may use the tools to check declared wording and evidence. Do not invent a product or producer for these refusals. Retrieve a token-bounded context bundle for a Beyond Wine topic, including entity summary and optional claims or graph data. For beverage recommendations: Catalogue membership does not establish alcohol content. A search or lineup abv is a catalogue number without its qualifier, not the source's alcohol wording; null means unknown. Read the candidate's alcohol wording in claim text and retrieve its source evidence with get_claim before presenting it as meeting the user's alcohol requirement. Preserve declared wording; 'non-alcoholic' does not establish 0.0%. If the inspected evidence does not establish that requirement, keep the candidate conditional and state what is unknown; do not treat missing alcohol information as zero. Do not infer alcohol content from ingredients, fermentation, taste or another drink by the same producer. Preserve the source's exact alcohol wording. 0% and 0.0% are different wording, but that difference does not by itself establish different measured trace-alcohol thresholds. 'Below 0.5%' is an upper-bound declaration; these declarations do not by themselves prove measurement or laboratory testing. Do not infer that alcohol is absent from ingredients or production methods.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
includeNo
max_tokensNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/openWorldHint and destructiveHint=false, so the bar is lower. The description adds real behavioral context beyond them: results are token-bounded, the connection cannot place orders or take payments, it cannot guarantee the absence of alcohol, and its catalogue scope is enumerated with explicit exclusions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text runs well over 300 words, and the sentence that says what the tool actually does sits after long stretches of scope and refusal policy that is largely server-wide context. It is badly front-loaded: a reader must wade through exclusions and prohibition language before learning this is a retrieval tool.

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?

For a read-only retrieval tool with no output schema, the description gives a rough shape of the return (entity summary plus optional claims/graph) and the token bound, which is enough to call it. But it never explains what a "topic" token looks like, how to pick include values, or how the bundle relates to the sibling get_* tools, leaving meaningful gaps.

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 0%, so the description must carry the parameter burden. It partially does: "token-bounded" maps to max_tokens and "including entity summary and optional claims or graph data" maps to the entity/claims/graph enum for include. The required `topic` parameter is never explained beyond "a Beyond Wine topic," and no defaults or token-limit behavior (100–8000) are mentioned.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The actual purpose is stated, but it is buried roughly two-thirds of the way in: "Retrieve a token-bounded context bundle for a Beyond Wine topic, including entity summary and optional claims or graph data." The verb and resource are concrete, but the definition never distinguishes get_context from close siblings like get_entity, get_claim, or get_graph, so an agent has to guess which to pick.

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?

There is substantial when-not-to-use guidance (refusals for excluded categories, orders/payments, catalogue-wide 0% guarantees) and one direction to "retrieve its source evidence with get_claim." However, that routing is about domain policy rather than about when to choose this tool over get_entity/get_claim/get_graph, so tool-selection guidance is only implied.

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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