AI agents call list_tables 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 is a read-only operation that enumerates standalone tables in an ArcMap workspace. It performs data discovery with no side effects, no code execution, and no data modification. The tool simply queries and returns information about existing tables.
From the tool's definition Tool name 'list_tables' and description 'Lista las tablas independientes de un `workspace`' indicate it retrieves/lists tables from a workspace without modification or execution of operations.
Attacks that exploit this kind of access
Lista las tablas independientes 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_tables: 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_tables 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_tables 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_tables. 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_tables 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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