AI agents call github_get_issue 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 returns information about a GitHub issue without modifying state, executing code, or causing side effects. It is a straightforward read operation similar to querying or fetching data. The low severity reflects minimal risk even if misused by an AI agent—it can only expose information the authenticated user already has access to.
From the tool's definition Tool name 'github_get_issue' and description 'Get details of a specific issue' indicate retrieval of existing data with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access github_get_issue 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_issue:
{
"version": "1",
"default": "deny",
"tools": {
"github_get_issue": {}
}
}github_get_issue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a specific issue. 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_issue: 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_issue 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_issue 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_issue. 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_issue 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.