Get detailed information about a specific table/rule. By default returns a parsed table structure with signature, conditions, actions, dimension properties, and row data. Set raw=true to get an unparsed 2D cell matrix (RawTableView) instead — useful for unknown/custom table types or preserving ex...
AI agents call get_table to retrieve information from Openl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
get_table is a read-only operation that retrieves and displays existing table/rule information. It has no capability to modify, delete, or execute operations. The note about table IDs changing through edits refers to handling stale references during retrieval, not to this tool making those changes. This is a straightforward data query with zero blast radius.
From the tool's definition Tool description states 'Get detailed information about a specific table/rule' and 'returns a parsed table structure' — this is purely a retrieval operation with no side effects. The tool only queries and returns data without modifying any state.
Attacks that exploit this kind of access
Get detailed information about a specific table/rule. By default returns a parsed table structure with signature, conditions, actions, dimension properties, and row data. Set raw=true to get an unparsed 2D cell matrix (RawTableView) instead — useful for unknown/custom table types or preserving exact cell layout. Note: raw output cannot be passed directly to openl_update_table (which expects the parsed form). A table id changes when an edit relocates the table; if the given id went stale through an edit made via this server, it is resolved to the current id automatically — otherwise refresh ids with openl_list_tables(). It is categorised as a Read tool in the Openl MCP Server, which means it retrieves data without modifying state.
Register the Openl MCP server in PolicyLayer and add a rule for get_table: 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 Openl. Nothing to install.
get_table 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_table 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_table. 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_table is provided by the Openl MCP server (openl-mcp-server). 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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