High Risk →

invarium_dashboard

Show the Invarium dashboard overview. Displays fleet health, pass rate, failure breakdown, recent test runs, and quick stats — the same data shown on the web dashboard. WHEN TO USE: When the user asks for an overview of their testing status, or at the start of a session to understand the curren...

Part of the Invarium MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

invarium-ai/invarium Execute Risk 3/5

AI agents invoke invarium_dashboard to trigger processes or run actions in Invarium. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

invarium_dashboard can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

invarium-ai-invarium.yaml
tools:
  invarium_dashboard:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Invarium policy for all 19 tools.

Tool Name invarium_dashboard
Category Execute
MCP Server Invarium MCP Server
Risk Level High

View all 19 tools →

Agents calling execute-class tools like invarium_dashboard have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

invarium_dashboard is one of the high-risk operations in Invarium. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the invarium_dashboard tool do? +

Show the Invarium dashboard overview. Displays fleet health, pass rate, failure breakdown, recent test runs, and quick stats — the same data shown on the web dashboard. WHEN TO USE: When the user asks for an overview of their testing status, or at the start of a session to understand the current state. Also useful after completing a testing cycle to show the overall impact. No parameters required. Returns overview for the authenticated user.. It is categorised as a Execute tool in the Invarium MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on invarium_dashboard? +

Add a rule in your Intercept YAML policy under the tools section for invarium_dashboard. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Invarium MCP server.

What risk level is invarium_dashboard? +

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

Can I rate-limit invarium_dashboard? +

Yes. Add a rate_limit block to the invarium_dashboard rule in your Intercept 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 invarium_dashboard completely? +

Set action: deny in the Intercept policy for invarium_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.

What MCP server provides invarium_dashboard? +

invarium_dashboard is provided by the Invarium MCP server (invarium-ai/invarium). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Invarium

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.