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recraft_explore_similar

Generate image variations visually similar to a source image. Adjust similarity level from 1 (slight) to 5 (extremely similar) to control how closely results match the original.

Instructions

Generate images visually similar to a source image previously created with recraft_explore. similarity controls how closely results resemble the source (1=slightly, 5=extremely similar).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
similarityYesHow closely to match the source image (1-5)
response_formatNoResponse formaturl
source_image_idYesImage ID from a previous recraft_explore result

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose the source-image prerequisite and gives concrete meaning to the similarity parameter, but it does not mention output behavior, failure modes, or side effects. For a non-destructive generation tool, this is a moderate but acceptable gap.

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 two compact sentences with no filler. The core action and source constraint are front-loaded, and the similarity explanation is concise and directly useful.

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 three-parameter tool, the description combined with the fully-described schema covers required inputs, source provenance, and similarity semantics. The absence of an output schema is partially mitigated by the response_format enum, although the description does not explicitly describe return behavior.

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?

Schema coverage is 100%, so the baseline is 3. The description adds meaning by labeling similarity endpoints ('1=slightly, 5=extremely similar') and emphasizing that the source image must originate from recraft_explore, which goes slightly beyond the schema's own descriptions.

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?

The description states a specific operation ('Generate images visually similar') and identifies the source resource ('a source image previously created with recraft_explore'). It is clear enough to distinguish from recraft_explore itself, though it does not explicitly differentiate from similar sibling tools like recraft_variate_image.

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?

The description implies the tool should be used after a recraft_explore call and explains the similarity scale. However, it does not explicitly state when not to use this tool or name alternatives such as recraft_variate_image, leaving usage selection partially to inference.

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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