Batch resize multiple images to specified dimensions.
AI agents invoke batch_resize to trigger actions in Inkscape. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Batch resizing images triggers an external operation (Inkscape processing) that modifies multiple files. It spans Write/Execute territory; since it operates on multiple files via an external application and could overwrite originals, Execute is the most appropriate category. The blast radius is medium since it affects multiple images but is potentially reversible if originals are preserved.
From the tool's definition Batch resize multiple images to specified dimensions
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access batch_resize gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Inkscape, and nothing reaches the server without passing your rules. This is the rule we recommend for batch_resize:
{
"version": "1",
"default": "deny",
"tools": {
"batch_resize": {
"limits": [
{
"counter": "batch_resize_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}batch_resize stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Batch resize multiple images to specified dimensions. It is categorised as a Execute tool in the Inkscape MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Inkscape MCP server in PolicyLayer and add a rule for batch_resize: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Inkscape. Nothing to install.
batch_resize is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the batch_resize rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for batch_resize. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
batch_resize is provided by the Inkscape MCP server (sandraschi/inkscape-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Inkscape, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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