list_cards
AI agents call list_cards to retrieve information from Metabase Mcp Navi without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'list' prefix strongly indicates a query/enumeration operation with no side effects. While the description is uninformative, the sibling context (dashboards, cards, collections) and naming convention confirm this retrieves metadata.
From the tool's definition Tool name 'list_cards' with no description; follows the Read pattern (list operation) alongside other Metabase retrieval tools on the server.
Attacks that exploit this kind of access
list_cards. It is categorised as a Read tool in the Metabase Mcp Navi MCP Server, which means it retrieves data without modifying state.
Register the Metabase Mcp Navi MCP server in PolicyLayer and add a rule for list_cards: 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 Metabase Mcp Navi. Nothing to install.
list_cards 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_cards 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_cards. 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_cards is provided by the Metabase Mcp Navi MCP server (manish-coder-1007/metabase-mcp-navi). 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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