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vienneje
by vienneje

Place Order

place_order

Place the current cart as a foodpanda order using cash on delivery. Confirm the previewed order first, then submit it.

Instructions

Place the current cart as an order. You MUST call preview_order first and get explicit user confirmation before calling this. Only 'payment_on_delivery' (Cash on Delivery) is supported. Credit card and GCash require browser-based payment flows that cannot be completed via MCP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_methodYesPayment method name — use 'payment_on_delivery' (Cash on Delivery). Credit card is not supported via MCP.
delivery_instructionsNoSpecial delivery instructions (e.g. 'Leave at door', 'Ring doorbell')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.1

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the required human-confirmation workflowaine and the payment-method limitation, which are meaningful behavioral constraints. However, it does not mention post-call side effects such as whether the cart is cleared, whether an order confirmation is returned, or whether the order can be canceled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three compact sentences carry the action, a mandatory prerequisite, and the key payment constraint without any filler. Critical workflow information is front-loaded immediately after the main verb phrase.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with no output schemahare, the description covers prerequisites, user-confirmation requirements, and payment restrictions. The main gap is the absence of any statement about what happens after the order is placed, such as cart clearing or a returned order identifier, but the essential invocation context is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already describes both parameters with 100% coverage, including the exact payment_method value and the delivery_instructions purpose. The description reinforces the payment_method constraint but adds little semantic detail beyond what the schema provides, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Place the current cart as an order.' This clearly distinguishes the tool from its sibling preview_order, which only previews rather than finalizes, and from cart-management tools like add_to_cart and remove_from_cart.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states the mandatory precondition: call preview_order first and obtain explicit user confirmation before invoking place_order. It also names the only supported payment method and explains why credit card and GCash are not viable alternatives through MCP, giving the agent clear when-to-use and when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.