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photoshop_generative_upscale

Increase image resolution by upscaling the active Photoshop document with AI detail recovery. Use when you need to enlarge images while preserving quality.

Instructions

Upscale the active document using Generative Upscale (PS 27+).

Use when: increasing resolution with AI detail recovery. Do NOT use when: generative_upscale flag is false — use photoshop_resize_image.

Returns: { ok, summary, details }. Preconditions: generative_upscale capability; signed-in Adobe account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
document_idNoOptional Photoshop document id from photoshop_get_state / photoshop_list_documents. When set, the tool activates that document before running so a UI tab switch cannot retarget the edit.
target_scaleNoTarget scale factor (2 or 4)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It discloses the return format and preconditions (capability, account), but does not specify whether the operation is destructive or reversible, or whether it modifies the active document in place. This is a moderate gap for a mutation tool.

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?

Extremely efficient: the main action is front-loaded, followed by use cases, exclusions, return type, and preconditions in a clear structure. Every sentence adds value without redundancy.

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 only two optional parameters and no output schema, the description covers purpose, usage guidance, return shape, and preconditions. An agent has everything needed to decide and invoke it correctly.

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 coverage is 100% with clear descriptions for both parameters. The description adds no extra parameter-level detail beyond what the schema already provides, so a baseline 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?

Clearly states the action (upscale) and the specific method (Generative Upscale), and distinguishes it from the sibling photoshop_resize_image by noting AI detail recovery. The verb and resource are explicit, and it names the alternative directly.

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

Usage Guidelines5/5

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

Provides explicit when-to-use and when-not-to-use conditions, including a specific flag check and the alternative tool to call. This leaves no ambiguity for an agent deciding between upscale and resize.

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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