report_appointment_summary

Generate an appointment summary report for a date range. Counts appointments by confirmation status (Confirmed/Declined/NoResponse). Capped at 100 appointments.

SERVERShopmonkey MCP Server SOURCEabbottdevelopments/shopmonkey-mcp-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/abbottdevelopments-shopmonkey-mcp-server/report-appointment-summary.md

WHAT IT DOES

What report_appointment_summary does on Shopmonkey MCP Server

AI agents call report_appointment_summary to retrieve information from Shopmonkey MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why report_appointment_summary is rated Low

This tool retrieves and aggregates appointment data for reporting purposes. It performs a read operation that queries appointment metrics without creating, modifying, or deleting records. There is no code execution, destructive action, or financial impact. The low severity reflects minimal blast radius—misuse generates a report based on query parameters with no unintended consequences on shop data.

From the tool's definition Tool generates a 'summary report' and 'counts appointments' by status across a date range. The description contains no language indicating creation, modification, deletion, execution of external commands, or financial transactions.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs report_appointment_summary safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Shopmonkey MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For report_appointment_summary, this is the rule to start with:

report_appointment_summary Allowed

report_appointment_summary is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "report_appointment_summary": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Shopmonkey MCP Server, apply this rule, and every report_appointment_summary call is checked against it from then on.

FAQ

Questions about report_appointment_summary

What does the report_appointment_summary tool do? +

Generate an appointment summary report for a date range. Counts appointments by confirmation status (Confirmed/Declined/NoResponse). Capped at 100 appointments. It is categorised as a Read tool in the Shopmonkey MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on report_appointment_summary? +

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

What risk level is report_appointment_summary? +

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

Can I rate-limit report_appointment_summary? +

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

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

report_appointment_summary is provided by the Shopmonkey MCP Server MCP server (abbottdevelopments/shopmonkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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