This record as markdown: /tools/7836246-claude-team-mcp/team-dashboard.md
What team_dashboard does on Claude Team MCP
AI agents call team_dashboard to retrieve information from Claude Team MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why team_dashboard is rated Low
This tool retrieves and displays information about team state, expert availability, and activity history. It has no side effects, does not execute code, does not modify data, and does not commit financial transactions. It is purely informational/observational in nature, fitting the Read category with low severity since misuse would only expose visibility into system status.
From the tool's definition Tool name 'team_dashboard' and description indicate viewing/monitoring only: '查看团队当前状态' (view team current status), 'available experts', 'model configuration', 'recent activity' — all read-only operations with no modification, deletion, or execution…
Attacks that exploit this kind of access
The rule that runs team_dashboard safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Team MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For team_dashboard, this is the rule to start with:
team_dashboard 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 Claude Team MCP, apply this rule, and every team_dashboard call is checked against it from then on.
Questions about team_dashboard
查看团队当前状态:可用专家、模型配置、最近活动. It is categorised as a Read tool in the Claude Team MCP MCP Server, which means it retrieves data without modifying state.
Register the Claude Team MCP server in PolicyLayer and add a rule for team_dashboard: 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 Claude Team MCP. Nothing to install.
team_dashboard 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 team_dashboard 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 team_dashboard. 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.
team_dashboard is provided by the Claude Team MCP server (7836246/claude-team-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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