find_commits_with_similar_failures_resource

WHAT IT DOES

What find_commits_with_similar_failures_resource does on PyTorch HUD MCP Server

AI agents call find_commits_with_similar_failures_resource to retrieve information from PyTorch HUD MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

WHY IT NEEDS A POLICY

Why find_commits_with_similar_failures_resource needs a policy

The tool retrieves or queries CI/CD analytics data (commits and failure patterns) without modifying, deleting, or executing operations. Its name suggests a search/discovery function.

From the tool's definition Tool name 'find_commits_with_similar_failures_resource' indicates a search/query operation over historical CI/CD data. The sibling tools (get_*, extract_*, filter_*) are all read-only analytics operations, and this tool fits that pattern as a lookup utility.

Attacks that exploit this kind of access

Questions about find_commits_with_similar_failures_resource

What does the find_commits_with_similar_failures_resource tool do? +

find_commits_with_similar_failures_resource. It is categorised as a Read tool in the PyTorch HUD MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_commits_with_similar_failures_resource? +

Register the PyTorch HUD MCP Server MCP server in PolicyLayer and add a rule for find_commits_with_similar_failures_resource: 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 PyTorch HUD MCP Server. Nothing to install.

What risk level is find_commits_with_similar_failures_resource? +

find_commits_with_similar_failures_resource is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit find_commits_with_similar_failures_resource? +

Yes. Add a rate_limit block to the find_commits_with_similar_failures_resource 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.

How do I block find_commits_with_similar_failures_resource completely? +

Set action: deny in the PolicyLayer policy for find_commits_with_similar_failures_resource. 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.

What MCP server provides find_commits_with_similar_failures_resource? +

find_commits_with_similar_failures_resource is provided by the PyTorch HUD MCP Server MCP server (izaitsevfb/claude-pytorch-treehugger). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.