current_workspace
Return the Sanka workspace currently bound to this MCP session, including workspace_name, workspace_code, and internal workspace_id. Use this to verify workspace context before live Sanka operations.
This record as markdown: /tools/sankahq-sanka-mcp/current-workspace.md
What current_workspace does on Sanka MCP Server
AI agents use current_workspace to create or update resources in Sanka MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sanka MCP Server environment.
Why current_workspace is rated Medium
An AI agent can call current_workspace faster than any human can review: one bad instruction and it creates or modifies resources in Sanka MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs current_workspace safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sanka MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For current_workspace, this is the rule to start with:
current_workspace stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Sanka MCP Server, apply this rule, and every current_workspace call is checked against it from then on.
Questions about current_workspace
Return the Sanka workspace currently bound to this MCP session, including workspace_name, workspace_code, and internal workspace_id. Use this to verify workspace context before live Sanka operations. It is categorised as a Write tool in the Sanka MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sanka MCP Server MCP server in PolicyLayer and add a rule for current_workspace: 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 Sanka MCP Server. Nothing to install.
current_workspace is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the current_workspace 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 current_workspace. 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.
current_workspace is provided by the Sanka MCP Server MCP server (sankahq/sanka-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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