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generate_room_floorplan

Generates an architectural 2D SVG spatial layout showing wall perimeter, walking clearances, and sofa bounds.

Input Schema

NameRequiredDescriptionDefault
product_titleNoLuonto Monika Sleeper
room_width_feetNo
room_length_feetNo
sofa_depth_inchesNo
sofa_width_inchesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the output artifact (an SVG layout) and its visual contents, which is real value, but it says nothing about side effects (pure render vs. persisted file), whether the defaults are applied silently, or how mismatched units (room in feet, sofa in inches) are handled. That gap matters because an agent could produce a misleading floorplan without knowing the tool's unit assumptions.

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?

A single front-loaded sentence with the verb and output type first, and no filler or repetition. It is efficient, though it is dense enough that the enumerated rendering elements crowd out any usage or unit guidance that would have earned its place.

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

Completeness2/5

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

Five optional parameters, zero schema coverage, no annotations, and no output schema mean the description must supply units, defaulting behavior, and the shape of the returned SVG. None of that is present, so an agent knows what the tool draws but not how to parameterize it safely or what it will receive back.

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 0%, so the description must compensate, and it only partially does: 'sofa bounds' implies sofa_depth_inches/sofa_width_inches and 'wall perimeter' implies room_width_feet/room_length_feet. However, the critical feet-vs-inches distinction, the meaning of product_title in the rendering, and the fact that all five parameters are optional with defaults are never mentioned in the description.

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?

The description gives a specific verb ('Generates') plus a concrete resource and output format ('architectural 2D SVG spatial layout') and enumerates what is rendered: wall perimeter, walking clearances, sofa bounds. An agent can tell this produces a visual/geometric artifact rather than a numeric fit calculation. It stops short of naming the sibling it differs from (calculate_room_fit_and_clearance), so sibling differentiation is only implicit.

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

Usage Guidelines2/5

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

There is no statement of when to call this versus calculate_room_fit_and_clearance (which presumably answers the numeric fit question) or build_coordinated_room_bundle. No prerequisites, no exclusions, and no note about whether the room/sofa dimensions should already be validated elsewhere. The agent must infer the routing decision from the name alone.

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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