AI agents call github_list_pull_requests 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 and lists existing pull requests from a repository. It performs a read-only query operation that does not create, modify, delete, or execute any actions. The verb 'list' is a classic Read category operation. Even if misused by an AI agent, it can only expose information already accessible to the authenticated user, with minimal blast radius.
From the tool's definition Tool name 'github_list_pull_requests' and description 'List pull requests for a repository' indicate a query/retrieval operation with no data modification or side effects.
Documented attack patterns abuse exactly the kind of access github_list_pull_requests 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_list_pull_requests:
{
"version": "1",
"default": "deny",
"tools": {
"github_list_pull_requests": {}
}
} github_list_pull_requests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List pull requests for a repository. 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_list_pull_requests: 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_list_pull_requests 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_list_pull_requests 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_list_pull_requests. 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_list_pull_requests 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.
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359 Sage MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.