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location.generate_plates

Generate a location's reference plates (wide, reverse angle, detail) with an image model, keeping one place. With no plate yet, the first is drawn from the description. Costs credits per image (see generation.list_models), charged to the project owner. Runs in the background — poll generation.list. Views the location already has are skipped unless listed in views.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "projectId": "<projectId>",
      "locationId": "<locationId>"
    },
    "name": "location.generate_plates"
  }
}

Input Schema

NameRequiredDescriptionDefault
labelNoFree-text angle for a custom view
viewsNo
projectIdYes
imageModelNo
locationIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does well: it discloses asynchronous execution with a named polling tool, per-image credit cost with the billing target (project owner), the skip-existing behavior, and how the first plate is derived when none exists. It omits failure/retry behavior and whether an existing plate can be regenerated or overwritten.

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?

Four tight sentences, front-loaded with the action and outputs, then cost, then async behavior, then the skip rule. Every clause carries information an agent needs; nothing is padding.

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 5-parameter, no-annotation, no-output-schema generation tool, the description covers the critical unknowns: cost, billing party, async polling, and view-skipping. Return shape is adequately implied by the polling pointer, though the result payload and per-view failure handling are not described.

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 only 20% (just 'label'), so the description must compensate. It adds genuine meaning for 'views' via the skip-unless-listed rule and implies 'imageModel' should be chosen via generation.list_models, but never explains how to pick a model or that 'label' only applies to the custom view.

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?

States a specific verb and resource ('Generate a location's reference plates') and immediately enumerates the concrete outputs (wide, reverse angle, detail) so an agent can distinguish it from character.generate_sheet, character.generate_view, and shot.generate_keyframe. The 'keeping one place' clause pins down the scope to a single location.

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?

Gives a real routing rule for the most common mistake: existing views are skipped unless explicitly listed in 'views', and it points to generation.list for polling and generation.list_models for cost. It stops short of saying when to prefer location.add_reference or location.update instead of generating plates, so it is clear context without explicit alternatives.

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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