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flowteller-io

Flowteller API MCP Server

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initiate_payment

Trigger a mobile money push payment for an existing booking by supplying the booking ID, provider, and customer's phone number.

Instructions

Initiate a customer push payment request for a booking.

Args:
    booking_id: The ID of the booking to pay for.
    provider: The provider of the booking (e.g. mysafari).
    customer_phone: The phone number of the customer for mobile money push.
    payment_provider: Optional mobile money provider name (e.g. VODACOM, TIGO).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerYes
booking_idYes
customer_phoneYes
payment_providerNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'push payment request' but does not describe side effects (e.g., customer receives a mobile money prompt, potential charge), success/failure behavior, return values, or any prerequisites. The agent is left without a clear model of what happens when the tool is invoked.

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?

The description is concise and well-structured: a one-line summary followed by a clean Args list. Every sentence and parameter line adds value without redundancy. It is appropriately sized for the tool's complexity.

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

Completeness3/5

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

For a 4-parameter tool with no output schema and no annotations, the description covers the core purpose and parameter semantics reasonably well. However, it lacks critical behavioral context such as expected outputs, error conditions, or side effects, which an agent would need to invoke the tool confidently in a real scenario. The absence of any return value description is a notable gap.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate for the lack of parameter details. It does so effectively by explaining each parameter: booking_id is the booking to pay for, provider is the booking provider (e.g., mysafari), customer_phone is the customer's number for the push, and payment_provider is an optional mobile money provider (e.g., VODACOM, TIGO). This adds meaning beyond the raw parameter names and types.

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 clearly states the tool's function: 'Initiate a customer push payment request for a booking.' The verb 'initiate' and resource 'payment request' are specific, and the scope (for a booking) distinguishes it from sibling tools like generate_receipt or get_payment_providers.

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

Usage Guidelines2/5

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

The description gives no explicit guidance on when to use this tool versus alternatives. It does not mention any preconditions, when not to use it, or how it relates to sibling tools. The only implied usage is that it is for initiating payments, but no exclusions or alternative tools are named.

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

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