workspace_status
Check which credential this MCP server is actually running on, what tier it grants, which workspace it is acting in, and whether that credential still works. Run this first when a tool returns 401 or 403 — it names the credential in play and what to do about it.
This record as markdown: /tools/adrata-adrata-mcp/workspace-status.md
What workspace_status does on Adrata
AI agents call workspace_status to retrieve information from Adrata without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why workspace_status is rated Low
Even though workspace_status only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs workspace_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Adrata, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For workspace_status, this is the rule to start with:
workspace_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Adrata, apply this rule, and every workspace_status call is checked against it from then on.
Questions about workspace_status
Check which credential this MCP server is actually running on, what tier it grants, which workspace it is acting in, and whether that credential still works. Run this first when a tool returns 401 or 403 — it names the credential in play and what to do about it. It is categorised as a Read tool in the Adrata MCP Server, which means it retrieves data without modifying state.
Register the Adrata MCP server in PolicyLayer and add a rule for workspace_status: 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 Adrata. Nothing to install.
workspace_status 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 workspace_status 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_status. 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_status is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Adrata, and thousands of servers like it.
This server
Across the catalogue