AI agents call get_session to retrieve information from Tabby without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing checkout session data without creating, modifying, or deleting anything. It is a straightforward read operation. While the Tabby platform is financial in nature, this specific tool only reads session details without moving money or committing financial obligations.
From the tool's definition Tool name is 'get_session' and description states 'Get checkout session details' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get checkout session details. It is categorised as a Read tool in the Tabby MCP Server, which means it retrieves data without modifying state.
Register the Tabby 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 Tabby. 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 Tabby MCP server (theyahia/tabby-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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