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Vectorize image

vectorize_image

Convert raster images into SVG vectors for editing or export. Provide the source image file ID to transform bitmap artwork into clean vector graphics.

Instructions

Convert a raster image into a vector (SVG).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageFileIdYesSource image file id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoError details when status is failed; otherwise null.
statusNoJob status: pending, running, succeeded, failed, or cancelled.
resultsNoGenerated results with download URLs when succeeded.
toolTypeNoTool name (e.g. GENERATE_IMAGE).
attemptIndexNoCurrent or latest attempt index.
toolExecutionIdYesTool execution id (vg_tool_...).
progressPercentageNoCompletion progress 0-100 (present after polling).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.2.1

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds the output format (SVG), which is not in the schema or annotations, but says nothing about whether processing is async, whether a new file is created, or how to retrieve the result.

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?

A single front-loaded sentence with no filler. The action and both endpoints of the transformation are stated immediately.

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?

An output schema exists, so return values need not be explained, and annotations cover safety. For a one-parameter tool the description is close to sufficient, though it omits processing model (sync vs async) and input-format constraints.

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% for the single parameter (imageFileId), so the schema carries the semantics. The description adds no additional detail such as accepted image formats or size limits, so the baseline 3 applies.

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?

States a specific verb-and-resource pair (convert a raster image into a vector/SVG) that is unambiguous. No sibling does vectorization, but the description never names or contrasts an alternative, so it stops short of 5.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as upscale_image or image_3d_effect. The agent must infer usage from the purpose statement alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.