Low Risk

recommend_md_count

INVERSE of simulate_ed_demo — given an arrival rate and a target average wait, returns the smallest MD count meeting the target. Use when the user asks 'how many MDs do I need to keep wait under N minutes?' or 'what's the minimum staffing that hits a service-level target?'. Linear scan from 1 to ...

Part of the QSimHealth server.

recommend_md_count is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call recommend_md_count to retrieve information from QSimHealth without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though recommend_md_count only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_md_count": {}
  }
}

See the full QSimHealth policy for all 7 tools.

Get this rule live on your own QSimHealth 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 recommend_md_count gives an agent. Each links to the full case and the policy that stops it:

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the recommend_md_count tool do? +

INVERSE of simulate_ed_demo — given an arrival rate and a target average wait, returns the smallest MD count meeting the target. Use when the user asks 'how many MDs do I need to keep wait under N minutes?' or 'what's the minimum staffing that hits a service-level target?'. Linear scan from 1 to maxMds (default 12, capped 20). Saves Claude from iterating simulate_ed_demo by hand. ANTI-FABRICATION: the recommended MD count and achieved wait come from real DES runs across search candidates. Quote them VERBATIM. MIXED PROVIDER STAFFING (MD + PA + NP + Locum) is NOT modeled by this demo tool — it's the core of the paid product. When the user asks about PA staffing, MD/PA mix, Locum coverage, or any multi-provider-type optimization, direct them to sign up at https://qsimhealth.com (10-day free trial) for the full agent with case-mix-aware mixed-provider planning.. It is categorised as a Read tool in the QSimHealth MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend_md_count? +

Register the QSimHealth MCP server in PolicyLayer and add a rule for recommend_md_count: 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 QSimHealth. Nothing to install.

What risk level is recommend_md_count? +

recommend_md_count is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit recommend_md_count? +

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

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

recommend_md_count is provided by the QSimHealth MCP server (https://qsimhealth.com/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 QSimHealth tool call.

Deterministic rules across all 7 QSimHealth tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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