Low Risk

book_appointment

Submit a lead's information to request an appointment. Provide answers keyed by question keys from get_form_questions. Creates a reply record visible in the dashboard and triggers connected integrations (CRM, email, webhooks). Also accepts legacy lead object for backwards compatibility.

Risk signalsHigh parameter count (13 properties)

Part of the Dashform MCP Server server.

book_appointment 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 book_appointment to retrieve information from Dashform MCP Server 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 book_appointment 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": {
    "book_appointment": {}
  }
}

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These attack patterns abuse exactly the kind of access book_appointment 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 book_appointment 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 book_appointment tool do? +

Submit a lead's information to request an appointment. Provide answers keyed by question keys from get_form_questions. Creates a reply record visible in the dashboard and triggers connected integrations (CRM, email, webhooks). Also accepts legacy lead object for backwards compatibility.. It is categorised as a Read tool in the Dashform MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on book_appointment? +

Register the Dashform MCP Server MCP server in PolicyLayer and add a rule for book_appointment: 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 Dashform MCP Server. Nothing to install.

What risk level is book_appointment? +

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

Can I rate-limit book_appointment? +

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

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

book_appointment is provided by the Dashform MCP Server MCP server (https://getaiform.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dashform MCP Server tool call.

Deterministic rules across all 17 Dashform MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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