Use to get full details for a specific workflow session by ID.
AI agents call get_session to retrieve information from Rentalot 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 session details by ID without creating, modifying, deleting, or executing any operations. It is a straightforward query operation with read-only semantics and minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_session' and description 'get full details for a specific workflow session by ID' indicate a retrieval operation with no modification.
Attacks that exploit this kind of access
Use to get full details for a specific workflow session by ID. It is categorised as a Read tool in the Rentalot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Rentalot MCP Server MCP server in PolicyLayer and add a rule for get_session: 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 Rentalot MCP Server. Nothing to install.
get_session 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_session 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_session. 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_session is provided by the Rentalot MCP Server MCP server (rentalot-ai/rentalot-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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