watch_log

Monitor a log file for changes

Server Local Logs MCP Server mariosss/local-logs-mcp-server
Category Read
Risk class Low
Parameters 00 required

What watch_log does on Local Logs MCP Server

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

Why watch_log needs a policy

This tool retrieves and observes log file data without modifying, deleting, or executing arbitrary code. Monitoring logs is a passive read operation with no side effects. Severity is low because log file content is typically non-sensitive system state information, and watching logs cannot alter system behavior or data.

From the tool's definition Tool name 'watch_log' and description 'Monitor a log file for changes' indicate real-time reading of log file content. The server description confirms this is a monitoring and analysis tool with 'real-time tailing' capability.

Questions about watch_log

What does the watch_log tool do? +

Monitor a log file for changes. It is categorised as a Read tool in the Local Logs MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on watch_log? +

Register the Local Logs MCP Server MCP server in PolicyLayer and add a rule for watch_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 Local Logs MCP Server. Nothing to install.

What risk level is watch_log? +

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

Can I rate-limit watch_log? +

Yes. Add a rate_limit block to the watch_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 watch_log completely? +

Set action: deny in the PolicyLayer policy for watch_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 watch_log? +

watch_log is provided by the Local Logs MCP Server MCP server (mariosss/local-logs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.