AI agents call github_get_user_activity 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 user activity data from GitHub without modifying, deleting, or executing any operations. It is a read-only query operation with minimal blast radius. Even if misused by an agent, the worst outcome would be unauthorized access to publicly or semi-publicly available user information, which poses low risk compared to write or destructive operations.
From the tool's definition Tool name and description indicate retrieval of user activity/information: 'Get user' suggests a query operation that fetches data. The verb 'get' paired with 'user_activity' clearly indicates data retrieval without modification or side effects.
Documented attack patterns abuse exactly the kind of access github_get_user_activity 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 github_get_user_activity:
{
"version": "1",
"default": "deny",
"tools": {
"github_get_user_activity": {}
}
}github_get_user_activity is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get user. 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 github_get_user_activity: 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.
github_get_user_activity 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 github_get_user_activity 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 github_get_user_activity. 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.
github_get_user_activity 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.