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photoshop_get_capabilities

Read-onlyIdempotent

Retrieve version-specific feature flags for the installed Photoshop to determine available AI capabilities before recommending gated recipes.

Instructions

Return version-aware feature flags for the installed Photoshop (Select Subject v2, Generative Fill, etc.).

Use when: once per session before suggesting AI-powered features or gated recipes. Do NOT use when: Photoshop version is already known from photoshop_get_version.

Returns: JSON { version, features: { select_subject_v2, generative_fill, ... } }. Preconditions: none. Side effects: none.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.7/5.0
Behavior4/5

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

Announces preconditions (none) and side effects (none), and adds the 'once per session' caching/usage rhythm, which is behavioral context beyond the structured fields. Some of this overlaps with readOnlyHint/destructiveHint, but the session-cadence advice is genuinely additive.

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?

Front-loaded one-line purpose followed by labeled Use/Do-not-use/Returns/Preconditions/Side effects sections. Every line earns its place; no filler.

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?

No output schema exists, yet the description supplies the return shape (JSON with version and a features map), and preconditions/side effects cover the operational envelope. Nothing needed to call this tool correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters, so the schema carries nothing to disambiguate and the baseline of 4 applies. The description correctly implies no inputs are required.

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 (Return) and resource (version-aware feature flags) with concrete examples (Select Subject v2, Generative Fill). It is clearly distinguished from the sibling photoshop_get_version by describing capabilities rather than version info.

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?

Explicit 'Use when: once per session before suggesting AI-powered features or gated recipes' and 'Do NOT use when: Photoshop version is already known from photoshop_get_version' — names both the condition and the alternative sibling tool.

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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