Say hello to someone.
AI agents call say_hello 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.
The tool performs a benign greeting operation that has no side effects on any system, data, or resources. While it doesn't retrieve or query data (which would be typical of Read), it also poses no risk of any other category. It is the least harmful action available and is best classified as Read due to its complete lack of destructive, executing, or state-modifying capability.
From the tool's definition Tool name is 'say_hello' and description states it will 'Say hello to someone.' This is a simple greeting function with no data retrieval, modification, execution, deletion, or financial operations.
Attacks that exploit this kind of access
Say hello to someone. 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 say_hello: 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.
say_hello 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 say_hello 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 say_hello. 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.
say_hello 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.
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 →