Reads remaining content from the buffer without sending a command.
AI agents call read_buffer to retrieve information from Interactive Terminal MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a passive retrieval of buffered output from an interactive session. It has no side effects—it does not spawn processes, execute commands, kill sessions, or modify any data. The explicit statement that it does not send a command confirms its read-only nature.
From the tool's definition Tool name 'read_buffer' and description 'Reads remaining content from the buffer without sending a command' clearly indicate a read-only operation that retrieves output data without triggering new actions or modifying state.
Documented attack patterns abuse exactly the kind of access read_buffer gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Interactive Terminal MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for read_buffer:
{
"version": "1",
"default": "deny",
"tools": {
"read_buffer": {}
}
} read_buffer is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Reads remaining content from the buffer without sending a command. It is categorised as a Read tool in the Interactive Terminal MCP MCP Server, which means it retrieves data without modifying state.
Register the Interactive Terminal MCP server in PolicyLayer and add a rule for read_buffer: 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 Interactive Terminal MCP. Nothing to install.
read_buffer 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 read_buffer 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 read_buffer. 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.
read_buffer is provided by the Interactive Terminal MCP server (wangyihang/interactive-terminal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Interactive Terminal MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Interactive Terminal MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.