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Château du Bû

Get the raw availability calendar

get_availability_calendar
Read-onlyIdempotent

The full machine-readable availability feed: free room counts per night by room type, ~180 nights ahead, plus the semantics needed to read it. Use for overviews ('when is there space in October?'); for a specific stay use check_room_availability. Aggregate counts only, no personal data. Read generated_at for the real age.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive and closed-world, so the safety profile needs no restating. The description adds genuinely new behavior: the ~180-night horizon, that values are aggregate counts with no personal data, and that `generated_at` reflects real staleness — a useful caching caveat. It stops short of saying anything about payload size, so not a 5.

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?

Front-loaded with the payload definition, then usage, then scope limits, then the freshness caveat — each sentence carries a distinct fact. The only slightly soft phrase is 'the semantics needed to read it', but it usefully signals a documentation field in the response.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Output schema exists, so return shape needn't be explained, and annotations cover safety; what remains — coverage window, aggregation scope, privacy, freshness — is all stated. Nothing an agent needs to decide or call correctly is missing for a parameterless read tool.

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

Parameters4/5

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

Zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly spends its words on scope and freshness instead of inventing parameter guidance.

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 concrete verb and resource plus the exact payload: free room counts per night by room type over ~180 nights. It also names the sibling it is not (check_room_availability), so an agent can separate the bulk-feed tool from the specific-stay tool without reading either schema.

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

Usage Guidelines5/5

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

Gives an explicit positive use case ('overviews — when is there space in October?') and an explicit exclusion routing to check_room_availability for a specific stay. Both the when and the when-not are stated, not inferred.

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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