filter_log_sections_resource

filter_log_sections_resource

Server PyTorch HUD MCP Server izaitsevfb/claude-pytorch-treehugger
Category Read
Risk class Low
Parameters 00 required

What filter_log_sections_resource does on PyTorch HUD MCP Server

AI agents call filter_log_sections_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 filter_log_sections_resource needs a policy

The tool name and context strongly suggest this retrieves or filters log sections from CI/CD analytics without modifying data. No write, execute, or destructive capabilities are indicated. The empty description reduces confidence slightly, but the pattern of sibling tools and the 'filter' verb indicate a read operation. Confidence is 0.7 due to missing tool description.

From the tool's definition Tool name 'filter_log_sections_resource' suggests filtering/querying log data. Description is empty, limiting precision.

Questions about filter_log_sections_resource

What does the filter_log_sections_resource tool do? +

filter_log_sections_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 filter_log_sections_resource? +

Register the PyTorch HUD MCP Server MCP server in PolicyLayer and add a rule for filter_log_sections_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 filter_log_sections_resource? +

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

Can I rate-limit filter_log_sections_resource? +

Yes. Add a rate_limit block to the filter_log_sections_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 filter_log_sections_resource completely? +

Set action: deny in the PolicyLayer policy for filter_log_sections_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 filter_log_sections_resource? +

filter_log_sections_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.

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