AI agents use make_query_public to create or update resources in Dune — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dune environment.
This tool modifies the visibility/access control of an existing query from private to public. It's a reversible write operation (visibility can presumably be changed back), but it does have a meaningful security implication — exposing potentially sensitive blockchain analytics queries to the public. It does not delete data or execute code, so Write is the most appropriate category.
From the tool's definition Make a private query public, allowing broader access.
Attacks that exploit this kind of access
Make a private query public, allowing broader access. It is categorised as a Write tool in the Dune MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dune MCP server in PolicyLayer and add a rule for make_query_public: 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 Dune. Nothing to install.
make_query_public is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the make_query_public 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 make_query_public. 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.
make_query_public is provided by the Dune MCP server (mwamedacen/dune-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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