Get message details
AI agents call get_msg to retrieve information from NapCat MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves message information from the QQ bot system. It performs a read-only query operation that fetches existing data without creating, modifying, deleting, or executing any operations. The classification as 'Read' is appropriate because the tool simply retrieves message details.
From the tool's definition Tool name 'get_msg' with description 'Get message details' indicates retrieval of existing message data without modification or side effects.
Attacks that exploit this kind of access
Get message details. It is categorised as a Read tool in the NapCat MCP Server MCP Server, which means it retrieves data without modifying state.
Register the NapCat MCP Server MCP server in PolicyLayer and add a rule for get_msg: 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 NapCat MCP Server. Nothing to install.
get_msg 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 get_msg 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 get_msg. 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.
get_msg is provided by the NapCat MCP Server MCP server (1021143806/napcat_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
get_msg is one line of NapCat MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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