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Tunzaa

Tunzaa MCP Server

Official
by Tunzaa

handle_callback

Simulate webhook callbacks from Tunzaa Payments to test and develop integration code with real transaction payload examples.

Instructions

Simulate or handle the callback payload sent by Tunzaa to your webhook. Essential for grounding your webhook integration code with real payload examples.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transaction_idYesThe unique Tunzaa transaction ID sent in the webhook.
statusYesThe final status of the payment (e.g., 'COMPLETED', 'FAILED', 'CANCELLED').
reference_idNoYour system's unique order reference.
amountNoThe amount confirmed by the provider.
payment_dateNoThe date the payment was completed.
timestampNoUNIX timestamp of the event.
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. It mentions 'simulate or handle' which suggests both testing and production use, but doesn't clarify whether this is a read-only operation, if it modifies data, what permissions are needed, or what the response looks like. For a tool with no annotation coverage, this leaves significant behavioral gaps.

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 two concise sentences that efficiently convey the tool's purpose and value. The first sentence states what it does, the second explains why it's useful. There's no wasted verbiage or redundant information.

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?

Given no annotations and no output schema, the description provides adequate basic purpose but lacks important behavioral context for a tool that appears to handle webhook payloads. It doesn't explain what happens after simulation/handling, whether there are side effects, or what the agent should expect as a result. For a 6-parameter tool in a payment system context, more completeness would be helpful.

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?

Schema description coverage is 100%, so the schema fully documents all 6 parameters. The description doesn't add any parameter-specific information beyond what's in the schema (e.g., it doesn't explain format details or provide examples). With complete schema coverage, the baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Simulate or handle the callback payload sent by Tunzaa to your webhook.' It specifies the verb ('simulate or handle') and resource ('callback payload'), but doesn't explicitly differentiate from sibling tools like 'get_payment_status' or 'initiate_payment' which handle different aspects of the payment flow.

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

Usage Guidelines3/5

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

The description provides some usage context: 'Essential for grounding your webhook integration code with real payload examples.' This implies it's used for testing or development with webhooks, but doesn't explicitly state when to use it versus alternatives like 'get_payment_status' for checking status directly, or provide clear exclusions.

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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