Kisi bhi log file ke last N lines padhna
AI agents call log_tail to retrieve information from Universal Dev MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool merely reads and retrieves log file contents without modifying, deleting, or executing anything. It is a simple read operation similar to 'tail' in Unix, which has minimal risk. The confidence is high because the function is straightforward despite the non-English description.
From the tool's definition 'Kisi bhi log file ke last N lines padhna' translates to 'read the last N lines of any log file' — a retrieval operation with no side effects on data.
Attacks that exploit this kind of access
Kisi bhi log file ke last N lines padhna. It is categorised as a Read tool in the Universal Dev MCP MCP Server, which means it retrieves data without modifying state.
Register the Universal Dev MCP server in PolicyLayer and add a rule for log_tail: 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 Universal Dev MCP. Nothing to install.
log_tail 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 log_tail 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 log_tail. 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.
log_tail is provided by the Universal Dev MCP server (kallusuvaidyam/universal_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the 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.
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