workspace_switch
Re-point the active MCP API key to a different workspace. Pass exactly one of workspace_id or slug (find them via workspace.list). Takes effect on the very next tool call — no MCP reconnect, no new API key. Sequential checkpoint: do not parallelize tool calls across a switch — calls already in fl...
This record as markdown: /tools/io-github-saloprj-dialogbrain/workspace-switch.md
What workspace_switch does on Dialogbrain
AI agents invoke workspace_switch to trigger actions in Dialogbrain. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
slug | string | — | Workspace slug to switch to. Resolved within the caller's memberships, so cross-tenant slug collisions are not possible. Mutually exclusive with `workspace_id`. |
workspace_id | integer | — | Numeric workspace id to switch to. Mutually exclusive with `slug`. |
Parameters from the server's own tool schema.
Why workspace_switch is rated High
This tool modifies the active execution context/session by switching which workspace all subsequent tool calls operate against. It triggers an external state change (re-pointing the API key) that affects all following operations.
From the tool's definition Re-point the active MCP API key to a different workspace... Takes effect on the very next tool call
Attacks that exploit this kind of access
The rule that runs workspace_switch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For workspace_switch, this is the rule to start with:
workspace_switch 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 Dialogbrain, apply this rule, and every workspace_switch call is checked against it from then on.
Questions about workspace_switch
Re-point the active MCP API key to a different workspace. Pass exactly one of workspace_id or slug (find them via workspace.list). Takes effect on the very next tool call — no MCP reconnect, no new API key. Sequential checkpoint: do not parallelize tool calls across a switch — calls already in flight when the switch commits will run against the previous workspace. It is categorised as a Execute tool in the Dialogbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
workspace_switch accepts 2 parameters: slug, workspace_id. The full parameter table on this page comes from the server's own tool schema.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for workspace_switch: 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 Dialogbrain. Nothing to install.
workspace_switch 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 workspace_switch 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 workspace_switch. 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.
workspace_switch is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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