AI agents call get_transcript to retrieve information from Ssh without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves existing transcript logs from a session—a read-only operation with no side effects. It does not execute commands, modify data, delete records, or trigger external operations. The low severity reflects minimal risk even if misused, as it only exposes historical information about past session activity.
From the tool's definition Tool name 'get_transcript' and description 'Return the tail of the JSONL transcript for a session' indicate retrieval of historical session data without modification or execution of commands.
Attacks that exploit this kind of access
Return the tail of the JSONL transcript for a session. It is categorised as a Read tool in the Ssh MCP Server, which means it retrieves data without modifying state.
Register the Ssh MCP server in PolicyLayer and add a rule for get_transcript: 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 Ssh. Nothing to install.
get_transcript 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_transcript 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_transcript. 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_transcript is provided by the Ssh MCP server (sc-ml-cmd/ssh-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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