log of a number
AI agents call log to retrieve information from MCP Server & Client Test Environment without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool computes the mathematical logarithm of a number, which is a pure read/compute operation with no side effects. Confidence is slightly reduced because the description is minimal and 'log' could theoretically refer to logging operations, but in context with sibling math tools (sin, cos, cbrt, factorial, etc.) it almost certainly means mathematical log.
From the tool's definition 'log of a number' — describes a mathematical logarithm computation
Attacks that exploit this kind of access
log of a number. It is categorised as a Read tool in the MCP Server & Client Test Environment MCP Server, which means it retrieves data without modifying state.
Register the MCP Server & Client Test Environment MCP server in PolicyLayer and add a rule for 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 MCP Server & Client Test Environment. Nothing to install.
log 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 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. 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 is provided by the MCP Server & Client Test Environment MCP server (mayur11235/lets-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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