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Landhaus Apartments Prägant

render_rates_card

Read-only

Render the interactive rates card for Landhaus Prägant, Bad Kleinkirchheim, Austria.

Same lookup and same result as get_rates() (identical text output) — call this one when the user wants to SEE a visual rates table, typically right after get_rates() already confirmed there's something worth showing.

Args: identical to get_rates() — see that tool for full parameter docs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthNo
guestsNo
languageNode

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds useful behavioral context: this is the same lookup and same text result as get_rates(), only rendered visually. It does not describe detailed interaction mechanics, but the read-only nature and rendering purpose are adequately disclosed.

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?

Three short sentences with no filler. The purpose and usage trigger are front-loaded, and the cross-reference to get_rates() minimizes duplication without losing necessary guidance.

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 low-complexity, read-only render tool, the description covers what the tool does, when to use it, and where full parameter docs live. It is slightly dependent on the get_rates() documentation to be fully self-contained, which prevents a perfect score.

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%, and the tool description does not define month, guests, or language semantics. Saying 'Args: identical to get_rates()' is a helpful pointer, but it defers all meaning to another tool rather than providing the compensating detail needed when schema coverage is low.

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?

The description states a specific verb and resource: it renders the interactive rates card for a named property. It also explicitly distinguishes itself from get_rates by noting the difference between textual lookup output and a visual rates table, so an agent can tell them apart immediately.

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?

It gives a clear when-to-use instruction: call when the user wants to SEE a visual rates table, typically after get_rates() has confirmed data exists. Naming get_rates() as the alternative and the trigger condition removes ambiguity.

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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