tail_lines
Number of lines to return from the end of the log (number, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/tail-lines.md
What tail_lines does on GitHub
AI agents call tail_lines to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why tail_lines is rated Low
This tool only returns log data without modifying, deleting, or executing operations. It is a standard log-viewing utility that retrieves information, fitting the Read category. Severity is low because viewing logs poses minimal risk even if misused by an agent.
From the tool's definition Tool name 'tail_lines' and description indicate this retrieves log content from the end of a file ('Number of lines to return from the end of the log'). This is a read-only query operation with no side effects.
Attacks that exploit this kind of access
The rule that runs tail_lines safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tail_lines, this is the rule to start with:
tail_lines is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every tail_lines call is checked against it from then on.
Questions about tail_lines
Number of lines to return from the end of the log (number, optional). It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP server in PolicyLayer and add a rule for tail_lines: 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. Nothing to install.
tail_lines 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 tail_lines 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 tail_lines. 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.
tail_lines is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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