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remove_furniture

Empty a room completely — remove all furniture, rugs, art, plants and decor, and rebuild the floor and walls behind them, keeping the architecture and camera angle identical. The blank canvas for restaging. (Declutter is the opposite: it keeps the furniture.) Costs credits from the user's Pixly balance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
r2PathNoR2 object path from an upload ticket (POST /api/v1/uploads) — the alternative to imageUrl when the photo is a local file.
imageUrlNoPublic https URL of the source photo, or a data: URI. Either imageUrl or r2Path is required.

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=false), the description adds meaningful behavioral detail: it mentions rebuilding floor and walls while keeping architecture and camera angle identical, and it discloses the credit cost ('Costs credits from the user's Pixly balance'). This gives the agent a clear picture of side effects and requirements.

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?

The description is three sentences, each contributing value: the first defines the core behavior, the second clarifies its purpose, and the third notes the cost and contrast with declutter. It is front-loaded with the main action and free of 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?

The description covers the tool's behavior, cost, and differentiation from a sibling, which is strong for a simple 2-parameter tool. However, it does not mention whether the operation is asynchronous or returns a job reference, even though sibling tools like 'get_job' suggest a job-based workflow. This minor omission keeps it from a perfect score.

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?

The input schema covers both parameters (r2Path and imageUrl) with full descriptions (100% coverage), so the baseline is 3. The description does not add any parameter-specific guidance, but the schema already explains the alternatives and requirement for one of them.

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 action: 'Empty a room completely — remove all furniture, rugs, art, plants and decor, and rebuild the floor and walls behind them.' This clearly distinguishes it from the sibling 'declutter_photo' by explicitly saying 'Declutter is the opposite: it keeps the furniture.' The resource and result are clearly described.

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

Usage Guidelines4/5

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

The description provides a clear use case: 'The blank canvas for restaging.' It also gives an explicit alternative ('Declutter is the opposite: it keeps the furniture'), helping the agent choose between the two. However, it does not list all other alternatives like 'virtual_staging' or 'edit_staged_photo,' so it's not fully exhaustive.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: photo enhancement, decluttering, staging, day/night conversion, sign placement, video creation, uploads, job checking, credit balance, and library listing. Even related tools like cinematic_motion and before_after_reel have clear differences (single image vs. two frames). No genuine overlap exists.

Naming Consistency3/5

Most tools follow a clear verb_noun pattern (declutter_photo, enhance_photo, get_job, list_library), but several use noun phrases (cinematic_motion, virtual_staging, before_after_reel, day_to_night). This mixed convention is still readable but not perfectly uniform.

Tool Count5/5

With 13 tools, the server covers a wide range of real-estate media operations without being bloated. Each tool serves a specific need, and the count is well within the typical 3-15 range for a purpose-built server.

Completeness4/5

The tool surface covers the main workflows: photo enhancement, staging, editing, video creation, uploads, library viewing, job status, and credit management. Minor gaps exist like no delete/update for library items, but these are not critical for the core real-estate editing use case.

Resources