item_publish
AI agents use item_publish to create or update resources in ArcGIS MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ArcGIS MCP environment.
Publishing items in ArcGIS creates new resources or modifies existing ones, making this a Write operation. The high severity reflects the potential blast radius of an AI agent publishing unauthorized or malicious GIS content, maps, or datasets to shared repositories.
From the tool's definition Tool name 'item_publish' combined with server context (ArcGIS item management) indicates creation or modification of publishable items/content in ArcGIS Online/Enterprise. No destructive keywords present.
Attacks that exploit this kind of access
item_publish. It is categorised as a Write tool in the ArcGIS MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ArcGIS MCP server in PolicyLayer and add a rule for item_publish: 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 ArcGIS MCP. Nothing to install.
item_publish is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the item_publish 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 item_publish. 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.
item_publish is provided by the ArcGIS MCP server (renemorenow/arcgis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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