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photoshop_apply_smart_blur

Apply edge-preserving Smart Blur to smooth skin or simplify backgrounds while retaining edge detail on the active raster layer.

Instructions

Apply the Smart Blur filter to the active raster layer — edge-preserving blur for smoothing skin or simplifying backgrounds.

Users often say: smart blur, edge-preserving blur, smooth skin blur, blur but keep edges.

Use when: subtle smoothing that respects edges (portraits, product cleanup). Do NOT use on text, Smart Objects, or the Background layer — rasterize first (photoshop_rasterize_layer). Do NOT use when: uniform blur is enough — use photoshop_apply_gaussian_blur.

Returns: JSON { ok, summary, details: { filter, radius, threshold, mode, quality, context } }. Preconditions: active document; normal (raster) layer selected. Side effects: one history step.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoSmart blur mode (default: NORMAL)NORMAL
radiusYesBlur radius (0.1-100)
qualityNoBlur quality / smoothness (default: MEDIUM)MEDIUM
thresholdYesBlur threshold — higher values restrict blur to stronger edges (0.1-100)
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.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description discloses preconditions (active document, normal raster layer), side effects (one history step), and return format (JSON with details). It also warns against using on certain layer types. This is comprehensive behavioral transparency.

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 well-structured with separate sections for purpose, aliases, usage, returns, preconditions, and side effects. Every sentence adds value, and the key information is front-loaded.

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?

The description covers all aspects needed for correct invocation: purpose, selection criteria, restrictions, return shape, preconditions, and side effects. Given the output schema is absent, the return description compensates adequately.

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?

Input schema has 100% description coverage, so the baseline is 3. The description does not add parameter-level semantics beyond what the schema provides, but it doesn't need to.

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 tool applies the Smart Blur filter to the active raster layer, with an explicit description of its edge-preserving nature and typical use cases. It also differentiates from gaussian blur by stating when not to use this tool. The aliases help recognize user phrasing.

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 'Use when' conditions, 'Do NOT use' exclusions (text, Smart Objects, Background) with a pointer to rasterize first, and an alternative tool for uniform blur. This fully guides tool selection.

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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