Get detailed analytics breakdown for a site.\n\n
AI agents call get_breakdown to retrieve information from Plausible MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries analytics data without modifying, deleting, executing code, or triggering financial operations. The 'Get detailed analytics breakdown' phrasing confirms it is a read-only operation that returns existing data from Plausible Analytics.
From the tool's definition Tool name 'get_breakdown' and description 'Get detailed analytics breakdown for a site' indicate data retrieval only.
Attacks that exploit this kind of access
Get detailed analytics breakdown for a site.\n\n. It is categorised as a Read tool in the Plausible MCP MCP Server, which means it retrieves data without modifying state.
Register the Plausible MCP server in PolicyLayer and add a rule for get_breakdown: 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 Plausible MCP. Nothing to install.
get_breakdown 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_breakdown 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_breakdown. 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_breakdown is provided by the Plausible MCP server (the-focus-ai/plausible-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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