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...

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp
High RISK CLASS
Category Execute
Parameters 20 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

ParameterTypeRequiredDescription
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

Questions about workspace_switch

What does the workspace_switch tool do? +

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.

What parameters does workspace_switch accept? +

workspace_switch accepts 2 parameters: slug, workspace_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on workspace_switch? +

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.

What risk level is workspace_switch? +

workspace_switch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit workspace_switch? +

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.

How do I block workspace_switch completely? +

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.

What MCP server provides workspace_switch? +

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.

More on Dialogbrain, and thousands of servers like it.

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