AI agents call list_rasters to retrieve information from Arcmap without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and enumerates raster datasets from a specified workspace without modifying, deleting, or executing any operations on them. It has no side effects and poses minimal risk if misused by an AI agent—the worst outcome would be information disclosure about available rasters.
From the tool's definition Tool name is 'list_rasters' and description states it 'Lista los datasets ráster' (lists raster datasets) from a workspace. The verb 'list' indicates a query/retrieval operation.
Attacks that exploit this kind of access
Lista los datasets ráster de un workspace (o el fijado por set_workspace). It is categorised as a Read tool in the Arcmap MCP Server, which means it retrieves data without modifying state.
Register the Arcmap MCP server in PolicyLayer and add a rule for list_rasters: 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 Arcmap. Nothing to install.
list_rasters is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_rasters 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 list_rasters. 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.
list_rasters is provided by the Arcmap MCP server (pedralcg/arcmap-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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