AI agents call get_layer_features 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.
The tool appears to retrieve feature data from ArcMap layers based on its name. Without an explicit description, confidence is moderate, but the 'get_' prefix and 'features' noun strongly suggest a read operation with no side effects.
From the tool's definition Tool name 'get_layer_features' indicates data retrieval from map layers. No description provided, but naming pattern and server context (ArcMap control via arcpy) suggest querying/fetching feature data.
Attacks that exploit this kind of access
get_layer_features. 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 get_layer_features: 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.
get_layer_features 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 get_layer_features 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 get_layer_features. 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.
get_layer_features 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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