valet_request_quote
Submit a valet parking quote request to the operators serving a US city. Use this when a person has asked you to arrange valet and has given their name, email, phone, city, service type and event date. The request is only sent after they confirm by email.
This record as markdown: /tools/com-getvaletparking-valet-parking-directory/valet-request-quote.md
What valet_request_quote does on Valet Parking Directory
AI agents call valet_request_quote to retrieve information from Valet Parking Directory without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
notes | string | — | Free-text notes for the operator, e.g. venue name or timing details |
service | string | Yes | One of the 9 canonical valet service slugs |
city_slug | string | — | Canonical kebab-case city slug from valet_search_cities, e.g. 'austin'. Omit if using city_other. |
city_other | string | — | Free-text city name when no directory slug is known. Omit if using city_slug. |
event_date | string | Yes | Event date in YYYY-MM-DD format |
guest_count | integer | — | Approximate guest count, if known |
contact_name | string | Yes | The requester's full name |
contact_email | string | Yes | Email address to send the one-tap confirmation link to |
contact_phone | string | Yes | Phone number the operator can call |
operator_slug | string | — | Send to this one operator only instead of the full fan-out for the city. Omit to notify every matched operator in the city. |
vehicle_count | integer | — | Approximate vehicle count, if known |
Parameters from the server's own tool schema.
Why valet_request_quote is rated Low
Even though valet_request_quote only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs valet_request_quote safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Valet Parking Directory, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For valet_request_quote, this is the rule to start with:
valet_request_quote is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Valet Parking Directory, apply this rule, and every valet_request_quote call is checked against it from then on.
Questions about valet_request_quote
Submit a valet parking quote request to the operators serving a US city. Use this when a person has asked you to arrange valet and has given their name, email, phone, city, service type and event date. The request is only sent after they confirm by email. It is categorised as a Read tool in the Valet Parking Directory MCP Server, which means it retrieves data without modifying state.
valet_request_quote accepts 11 parameters: notes, service, city_slug, city_other, event_date, guest_count, contact_name, contact_email, contact_phone, operator_slug, vehicle_count. Required: service, event_date, contact_name, contact_email, contact_phone. The full parameter table on this page comes from the server's own tool schema.
Register the Valet Parking Directory MCP server in PolicyLayer and add a rule for valet_request_quote: 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 Valet Parking Directory. Nothing to install.
valet_request_quote is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the valet_request_quote 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.
Set action: deny in the PolicyLayer policy for valet_request_quote. 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.
valet_request_quote is provided by the Valet Parking Directory MCP server (https://api.getvaletparking.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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