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plot_sign

Place a photorealistic 3D monument sign with your exact text (price, area, SOLD) onto a photo of an empty plot, matched to perspective and lighting. Costs credits from the user's Pixly balance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lookNoSign material/style; defaults server-side
textYesSign label, verbatim — a price ("$1,200,000"), area ("800 m²"), or short word ("SOLD")
r2PathNoStorage path of a photo already in the user's Pixly library (from list_library, or returned by an upload ticket) — the alternative to imageUrl.
imageUrlNoPublic https URL of the source photo, or a data: URI. Either imageUrl or r2Path is required.
orientationNoLetter orientation (letter looks only); defaults server-side

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
typeNo
errorNo
jobIdYesPass to get_job to poll
statusYespending | processing | completed | failed — anything not completed/failed is still running
createdAtNo
resultUrlsNoPresent when completed; valid 7 days
completedAtNo
creditsChargedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / r2Path / description
      Previous value: -"R2 object path from an upload ticket (the create_upload_ticket tool, or POST /api/v1/uploads over REST) — the alternative to imageUrl when the photo is a local file."New value: +"Storage path of a photo already in the user's Pixly library (from list_library, or returned by an upload ticket) — the alternative to imageUrl."
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "completedAt": {
      +      "type": "string"
      +    },
      +    "createdAt": {
      +      "type": "string"
      +    },
      +    "creditsCharged": {
      +      "type": [
      +        "number",
      +        "null"
      +      ]
      +    },
      +    "error": {
      +      "type": "string"
      +    },
      +    "jobId": {
      +      "description": "Pass to get_job to poll",
      +      "type": "string"
      +    },
      +    "note": {
      +      "type": "string"
      +    },
      +    "resultUrls": {
      +      "description": "Present when completed; valid 7 days",
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "status": {
      +      "description": "pending | processing | completed | failed — anything not completed/failed is still running",
      +      "type": "string"
      +    },
      +    "type": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "jobId",
      +    "status"
      +  ],
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / r2Path / description
      Previous value: -"R2 object path from an upload ticket (POST /api/v1/uploads) — the alternative to imageUrl when the photo is a local file."New value: +"R2 object path from an upload ticket (the create_upload_ticket tool, or POST /api/v1/uploads over REST) — the alternative to imageUrl when the photo is a local file."
  4. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=false, openWorldHint=true, and destructiveHint=false. The description adds useful context beyond those fields by disclosing that the operation costs Pixly credits and that results are photorealistic with perspective/lighting matching. There is no contradiction with annotations.

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 two sentences with no filler. The primary function and exact behavior are front-loaded, and the credit-cost note is appended concisely.

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?

For a tool with full schema coverage, an output schema, and annotations covering safety, the description provides sufficient operational context: what it does, the visual expectation, and the cost implication. Nothing essential for correct invocation is missing.

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 100%, with each parameter already documented including enums and constraints. The description adds only light extra context via text examples, not parameter-level semantics, so the baseline score of 3 is appropriate.

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: placing a photorealistic 3D monument sign with exact text onto a photo of an empty plot. It also names concrete use cases (price, area, SOLD) and quality attributes (perspective, lighting), which clearly separates it from siblings like virtual_staging or remove_furniture.

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 clearly implies when to use this tool: when the user wants a sign on an empty plot photo. It does not explicitly name alternatives or exclusions, but the use context is clear enough that an agent can route to it appropriately.

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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