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roomvana-mcp

design_a_room

Turn a room + style choice into a Roomvana studio link with those options pre-selected. The user opens the link, uploads a photo of the room, and gets an AI redesign in about 30 seconds. Validates the room and style against Roomvana's catalogue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roomYesRoom or space id, e.g. 'bedroom', 'kitchen', 'backyard'. See list_room_types.
notesNoOptional free-text notes about the desired look (echoed back; not encoded in the link).
styleNoOptional design style id, e.g. 'japandi', 'modern'. See list_design_styles.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the tool itself does not perform the redesign but returns a link, that the upload/redesign happens later in the studio (~30 seconds), and that inputs are validated against the catalogue. It does not cover failure behavior or rate/invocation concerns, but the out-of-band nature of the actual redesign is valuable context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the core action, and each sentence contributes (action, user flow, validation). Sizing is appropriate for the tool's complexity with no filler.

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 annotations and no output schema, the description needs to explain the return value, and it does: a studio link with options pre-selected. Combined with the validation and timing details, an agent has enough to call it correctly, though failure/error handling is left unstated.

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%, so all three parameters are already documented in the schema. The description adds only a passing reference to 'room + style' validation and does not mention the notes parameter or the id formats beyond what the schema states, so the baseline 3 is appropriate.

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?

States a concrete verb and resource: it turns a room+style choice into a Roomvana studio link with those options pre-selected. This clearly marks it as the action/generation tool versus the sibling list_room_types and list_design_styles, which it references only indirectly via 'catalogue'.

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?

The description implies the workflow (pick room + style, get a link where the user uploads a photo) and says it validates against the catalogue, which hints the list tools are prerequisites. However, it never explicitly states when to use this versus alternatives or what happens on invalid room/style input.

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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