Detailed run information and logs.
AI agents call get_workflow_run_details to retrieve information from GitHub Repos Manager MCP Server 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 workflow run details and logs—information that already exists in GitHub. It has no side effects and does not execute code, create resources, or modify state. This is a straightforward Read operation with minimal risk.
From the tool's definition Tool name 'get_workflow_run_details' and description 'Detailed run information and logs' indicate retrieval of existing data without modification. No verbs suggesting creation, modification, deletion, or execution are present.
Documented attack patterns abuse exactly the kind of access get_workflow_run_details gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Repos Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_workflow_run_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_workflow_run_details": {}
}
} get_workflow_run_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Detailed run information and logs. It is categorised as a Read tool in the GitHub Repos Manager MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub Repos Manager MCP Server MCP server in PolicyLayer and add a rule for get_workflow_run_details: 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 GitHub Repos Manager MCP Server. Nothing to install.
get_workflow_run_details 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_workflow_run_details 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_workflow_run_details. 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_workflow_run_details is provided by the GitHub Repos Manager MCP Server MCP server (kurdin/github-repos-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GitHub Repos Manager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.