session_logout
A execute tool on the 1point3acres Toolkit MCP server.
This record as markdown: /tools/1point3acres-toolkit/session-logout.md
What session_logout does on 1point3acres Toolkit
AI agents invoke session_logout to trigger actions in 1point3acres Toolkit. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why session_logout is rated High
Logout sessions likely terminates user authentication, causing significant access disruption.
From the tool's definition uninformative description
Attacks that exploit this kind of access
The rule that runs session_logout safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1point3acres Toolkit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For session_logout, this is the rule to start with:
session_logout stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 1point3acres Toolkit, apply this rule, and every session_logout call is checked against it from then on.
Questions about session_logout
session_logout is a execute tool on the 1point3acres Toolkit MCP server. It is categorised as a Execute tool in the 1point3acres Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the 1point3acres Toolkit MCP server in PolicyLayer and add a rule for session_logout: 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 1point3acres Toolkit. Nothing to install.
session_logout is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the session_logout 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 session_logout. 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.
session_logout is provided by the 1point3acres Toolkit MCP server (vivian-labs/1point3acres-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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