AI agents call cursor_get_agent_edits to retrieve information from Sage MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves analytics data (agent edit history/metrics) for a specified date range. The 'get_' verb and 'analytics' terminology confirm it is a read-only query operation that observes historical data without side effects. No data is created, modified, deleted, or executed.
From the tool's definition Tool name contains 'get_' prefix and description states 'Get team agent edit analytics' - both indicate retrieval of data without modification or execution.
Documented attack patterns abuse exactly the kind of access cursor_get_agent_edits gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sage MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for cursor_get_agent_edits:
{
"version": "1",
"default": "deny",
"tools": {
"cursor_get_agent_edits": {}
}
}cursor_get_agent_edits is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get team agent edit analytics for a date range. It is categorised as a Read tool in the Sage MCP MCP Server, which means it retrieves data without modifying state.
Register the Sage MCP server in PolicyLayer and add a rule for cursor_get_agent_edits: 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 Sage MCP. Nothing to install.
cursor_get_agent_edits 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 cursor_get_agent_edits 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 cursor_get_agent_edits. 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.
cursor_get_agent_edits is provided by the Sage MCP server (sagemcp/sagemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 359 Sage MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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359 Sage MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.