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Get winery details

get_winery
Read-onlyIdempotent

Get full public details for one winery on Sip (by slug or name), including tasting experiences (with ids) and how each one is booked. Use the experience id with check_availability and get_booking_link.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_winery"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesWinery slug or name, e.g. 'la-bri' or 'La Bri'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and closed-world scope, so the safety profile needs no restating. The description adds useful substance beyond them by disclosing that results are public-only and include tasting experiences with ids plus booking mechanics, though it says nothing about what happens when the slug is unknown (empty result vs error).

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 with no filler, front-loading the resource and scope before the return contents and the follow-up tool routing. Every clause earns its place.

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?

With no output schema, the description carries the burden of describing returns and does so at a useful level (tasting experiences, ids, booking method). It is nearly complete for a single-record read, with only not-found behavior left unspecified.

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 100% and the single parameter already documents that it accepts either a slug or a name with worked examples ('la-bri' / 'La Bri'). The description's '(by slug or name)' reinforces that dual acceptance but adds no new syntax, casing or resolution-order detail beyond the schema.

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 full public details for one winery') along with scope ('one winery', 'public details'), which implicitly separates it from the bulk sibling search_wineries. It also names what is returned (tasting experiences with ids and booking method), so an agent can predict the payload.

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?

Gives a clear downstream handoff: take the experience id to check_availability and get_booking_link, which tells the agent this is the discovery step in a booking flow. It stops short of stating when to prefer this over search_wineries (e.g. when you already know the slug or name), so it is clear but not fully exclusionary.

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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