Get current time and date.
AI agents call time_tool to retrieve information from Modular MCP Server with Python Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query of the system's current time and date. It retrieves information without creating, modifying, deleting, or executing any operations. It poses minimal risk even if misused by an AI agent, as the worst outcome is receiving accurate temporal data. Classified as Read with low severity.
From the tool's definition Tool description states 'Get current time and date' — a pure retrieval operation with no side effects, state modification, or external action.
Attacks that exploit this kind of access
Get current time and date. It is categorised as a Read tool in the Modular MCP Server with Python Tools MCP Server, which means it retrieves data without modifying state.
Register the Modular MCP Server with Python Tools MCP server in PolicyLayer and add a rule for time_tool: 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 Modular MCP Server with Python Tools. Nothing to install.
time_tool 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 time_tool 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 time_tool. 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.
time_tool is provided by the Modular MCP Server with Python Tools MCP server (tunamsyar/ollama-mcp-py). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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