High Risk →

start_here

Best first action for a user describing a concern. Runs a parallel lookup across crisis screening, provider availability, and the article corpus, then returns the recommended path (crisis | evaluation | self-help | mixed) with concrete next steps. Optimized for the agent's first turn — a single c...

Part of the Mental Health Care server.

start_here can trigger actions in Mental Health Care, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke start_here to trigger processes or run actions in Mental Health Care. 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.

start_here can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_here": {
      "limits": [
        {
          "counter": "start_here_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Mental Health Care policy for all 10 tools.

Get this rule live on your own Mental Health Care server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access start_here gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so start_here only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the start_here tool do? +

Best first action for a user describing a concern. Runs a parallel lookup across crisis screening, provider availability, and the article corpus, then returns the recommended path (crisis | evaluation | self-help | mixed) with concrete next steps. Optimized for the agent's first turn — a single call replaces 2-3 sequential lookups.. It is categorised as a Execute tool in the Mental Health Care MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_here? +

Register the Mental Health Care MCP server in PolicyLayer and add a rule for start_here: 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 Mental Health Care. Nothing to install.

What risk level is start_here? +

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

Can I rate-limit start_here? +

Yes. Add a rate_limit block to the start_here 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 start_here completely? +

Set action: deny in the PolicyLayer policy for start_here. 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 start_here? +

start_here is provided by the Mental Health Care MCP server (https://www.emorahealth.com/api/mcp/v1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mental Health Care tool call.

Deterministic rules across all 10 Mental Health Care tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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