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continue_editing

Continue editing the most recent image in the session. Provide new instructions to modify the image with optional reference images and quality settings.

Instructions

Continue editing the last generated or edited image. Automatically uses the most recent image from the session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesInstructions for the next edit
referenceImagesNoOptional reference images for guidance
modelNoOptional model override for this request
qualityNoModel tier: "high" (best quality, default) or "fast" (cheaper/faster)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions automatic use of the most recent image but omits critical details: what happens if no previous image exists, whether the tool is destructive, auth requirements, rate limits, or edge cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (2 sentences) and front-loaded with the main action. However, it could be structured better with more detail, and the brevity sacrifices completeness. Still, it is efficient with no waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters, no output schema, and no annotations, the description is too brief. It lacks explanations of return values, error handling, session management, and how this tool fits with sibling tools like edit_image.

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%, so baseline is 3. The description adds no extra meaning beyond the schema's parameter names and descriptions. It does not explain how quality interacts with model or the purpose of referenceImages.

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?

The description clearly states the tool's function: continue editing the last generated or edited image. It specifies the key behavior of automatically using the most recent image, distinguishing it from sibling tools like edit_image which likely require specifying an image.

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

Usage Guidelines4/5

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

The description gives clear context for when to use this tool (to edit the most recent image), but does not explicitly state when not to use it or mention alternative tools like edit_image for editing a different image.

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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