fl_query_advanced
AI agents call fl_query_advanced to retrieve information from ArcGIS MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name prefix 'fl_query' strongly implies a read/query operation against a feature layer. 'Advanced' may indicate support for complex filters or spatial queries, but still likely read-only. However, the description is empty, so there is uncertainty — it could potentially support editing. Confidence is lowered accordingly.
From the tool's definition Tool name 'fl_query_advanced' suggests a feature layer query operation (advanced variant), consistent with the server description mentioning 'feature layer queries/editing'.
Attacks that exploit this kind of access
fl_query_advanced. It is categorised as a Read tool in the ArcGIS MCP MCP Server, which means it retrieves data without modifying state.
Register the ArcGIS MCP server in PolicyLayer and add a rule for fl_query_advanced: 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.
fl_query_advanced 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 fl_query_advanced 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 fl_query_advanced. 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.
fl_query_advanced 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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