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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 direct relationship neighbors for an entity profiled in the Beyond Wine knowledge base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
entity_typeYes

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=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the connection cannot place orders or take payments, cannot certify zero-alcohol across the catalogue, and empty searches must not be used to establish an exclusion.

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 description is back-loaded: the one sentence that says what the tool does is last, preceded by several sentences of refusal policy. Much of the content is not about invoking this tool and would be better placed in a shared domain/policy prompt.

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?

There is no output schema, so the description should explain what 'direct relationship neighbors' actually returns (neighbor entity types, relationship kinds, depth, volume). It never does, and with undocumented parameters on top, an agent cannot predict the response shape before calling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for two required parameters, so the description must compensate and it does not. Neither 'slug' nor 'entity_type' is explained, and the five enum values (producer, beverage, person, restaurant, prepared_ingredient) are never mentioned, leaving the agent to infer the entity model from the schema alone.

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 final sentence states a specific verb and resource: 'Retrieve direct relationship neighbors for an entity profiled in the Beyond Wine knowledge base.' That is clear enough to separate it from pure entity/profile lookups, but it is buried under domain policy text and never explicitly contrasts itself with siblings like get_entity or get_beverage.

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 abundant when-not guidance, but it concerns the domain (decline purchases, refuse scope-guarantee requests, avoid empty searches to prove exclusion) rather than when to call get_graph versus get_entity, get_beverage, or search_beverages. Tool-selection guidance is implied at best.

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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