Medium Risk

upsert_canvas_workflow

Create/update a canvas workflow entity and publish privately or via DAO proposal

Part of the Geo server.

upsert_canvas_workflow can modify Geo data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use upsert_canvas_workflow to create or modify resources in Geo. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call upsert_canvas_workflow repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Geo.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "upsert_canvas_workflow": {
      "limits": [
        {
          "counter": "upsert_canvas_workflow_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access upsert_canvas_workflow gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so upsert_canvas_workflow only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the upsert_canvas_workflow tool do? +

Create/update a canvas workflow entity and publish privately or via DAO proposal. It is categorised as a Write tool in the Geo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on upsert_canvas_workflow? +

Register the Geo MCP server in PolicyLayer and add a rule for upsert_canvas_workflow: 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 Geo. Nothing to install.

What risk level is upsert_canvas_workflow? +

upsert_canvas_workflow is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit upsert_canvas_workflow? +

Yes. Add a rate_limit block to the upsert_canvas_workflow 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.

How do I block upsert_canvas_workflow completely? +

Set action: deny in the PolicyLayer policy for upsert_canvas_workflow. 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.

What MCP server provides upsert_canvas_workflow? +

upsert_canvas_workflow is provided by the Geo MCP server (geo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Geo tool call.

Deterministic rules across all 44 Geo tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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