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polaroid_transform

Turn an image into a Polaroid instant print. Returns { image }. Cost: 1 credit.

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": {
      "image": "<image>"
    },
    "name": "polaroid_transform"
  }
}

Input Schema

NameRequiredDescriptionDefault
imageYesImage as a base64 data URI (data:image/png;base64,…) or an HTTPS image URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden, and it does add real value by disclosing the credit cost (1 credit) and the return shape ({ image }). However, it omits whether the result is persisted as an artwork in the user's library (relevant given delete_artwork and list_my_artworks siblings), what happens on an unreachable HTTPS URL, or whether the call is synchronous.

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?

Three short clauses with the effect front-loaded, followed by the return shape and the cost. Nothing is padded and every clause carries distinct information.

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 one-parameter generation tool with no annotations and no output schema, the description covers purpose, return shape, and cost, which is most of what an agent needs. The remaining gap is lifecycle behavior — whether the generated print is saved to the account and how failures are surfaced.

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% for the single 'image' parameter, including the accepted base64 data URI and HTTPS URL forms, so the schema already does the work. The description adds no constraints such as size limits or format restrictions beyond what the schema declares, so baseline 3 applies.

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 an unambiguous transformation target ('Turn an image into a Polaroid instant print'), which is more specific than a generic style-transfer label. It is distinguishable from style siblings like dslr_transform and retro_transform by naming the exact output style, though it never explicitly contrasts itself with them.

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?

No when-to-use or when-not-to-use guidance, and no mention of when a user should pick this over retro_transform or dslr_transform. Usage is only implied by the stated effect, so an agent must infer the selection criteria from the style names.

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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