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bordeaux.guru — Bordeaux en primeur & terroir

get_chateau

Get a château profile from bordeaux.guru: appellation, classification, terroir, vineyard size, typical blend and its tasted wines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chateauYesChâteau name or slug, e.g. 'chateau-lynch-bages' or 'Lynch-Bages'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the burden; it discloses the returned content (profile fields and tasted wines) but doesn't state output format, error behavior, or non-mutating guarantees. 'Get' implies reading, and the content list helps, but security/behavioral details remain unspoken.

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?

One compact sentence with a front-loaded verb and resource, followed by a tightly listed set of included data. No filler or redundant restatement of tool name.

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?

For a one-parameter, straightforward read tool, description is reasonably complete: it names the external source and lists returned data. Minor gap of not clarifying response format, but schema covers input and the profile scope is clear.

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% with an illustrative example ('chateau-lynch-bages' or 'Lynch-Bages'). Description adds no additional parameter detail, so baseline 3 is appropriate.

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?

Description specifies verb and resource: 'Get a château profile from bordeaux.guru', plus enumerates contents (appellation, classification, terroir, vineyard size, typical blend, tasted wines). This clearly distinguishes it from exclusive sibling tools like get_terroir, get_tasting_note, or get_vintage_profile.

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?

Description implies usage for broad château overview through the word 'profile' and its comprehensive content list, but it doesn't explicitly state when to use this over narrower siblings or mention any when-not-to-use conditions.

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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