tail_log

Reads the end of a log file (like Unix

Server Log MCP Server thhart/log-mcp
Category Read
Risk class Low
Parameters 00 required

What tail_log does on Log MCP Server

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

Why tail_log needs a policy

This tool retrieves data from log files without side effects. It performs a read-only operation analogous to the Unix 'tail' command, which outputs the final lines of a file. All sibling tools (find_errors, get_log_content, head_log, list_log_files, read_log_paginated, read_log_range, search_log_file) are similarly read-only inspection utilities. No data is created, modified, deleted, or executed—only queried.

From the tool's definition Tool name 'tail_log' and description 'Reads the end of a log file (like Unix' indicate retrieval/querying of existing log file content with no modifications, deletions, or external operations triggered.

Questions about tail_log

What does the tail_log tool do? +

Reads the end of a log file (like Unix. It is categorised as a Read tool in the Log MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tail_log? +

Register the Log MCP Server MCP server in PolicyLayer and add a rule for tail_log: 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 Log MCP Server. Nothing to install.

What risk level is tail_log? +

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

Can I rate-limit tail_log? +

Yes. Add a rate_limit block to the tail_log 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 tail_log completely? +

Set action: deny in the PolicyLayer policy for tail_log. 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 tail_log? +

tail_log is provided by the Log MCP Server MCP server (thhart/log-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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