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Tunzaa

Tunzaa MCP Server

Official
by Tunzaa

create_demo_shop

Run a full Malipo API sequence (token, payment, installments) to trace live calls and generate accurate Tunzaa Payments integration code.

Instructions

The ultimate grounding tool. Executes a full sequence of Malipo API calls (Token -> Payment -> Installments). Use this to see a 'live trace' of the API, allowing you to generate perfect integration code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_urlNoOptional URL to simulate the Malipo environment for grounding.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.1.0
    • changedInput schema / properties / api_url / description
      Previous value: -"Optional URL to simulate the Tunzaa environment for grounding."New value: +"Optional URL to simulate the Malipo environment for grounding."
  2. First observedv1.0.0

TDQS

C2.7/5.0
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 behavioral burden. It never discloses whether the Token/Payment/Installments calls create real records, whether state is mutated or rolled back, what auth or credentials are needed, or what happens if api_url is omitted. The vague framing as a 'grounding tool' and 'live trace' leaves the side-effect profile entirely unclear.

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

Conciseness3/5

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

Two sentences, and the operative content is front-loaded reasonably, but 'The ultimate grounding tool' is pure marketing filler that earns no place. The remaining text is efficient but the opening sentence could be dropped without loss.

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

Completeness2/5

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

The tool orchestrates a multi-step chain of API calls with likely side effects, yet there is no output schema, no annotations, and no description of what is returned or what state changes. The name/description mismatch about whether a 'demo shop' is created is left unresolved, so an agent lacks what it needs to invoke this safely.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already documents api_url. The description adds no meaning about the parameter or what omitting it does, which is the baseline-3 case when the schema does the heavy lifting.

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

Purpose3/5

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

The description states a concrete action ('Executes a full sequence of Malipo API calls (Token -> Payment -> Installments)'), which is more than a tautology. However, it never reconciles this with the tool name 'create_demo_shop' — an agent cannot tell whether a demo shop resource is actually created or whether this is purely a trace/simulation, and no sibling is named to disambiguate it from get_token/initiate_payment.

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?

It gives one intended context — 'Use this to see a live trace of the API, allowing you to generate perfect integration code' — which implies the grounding/onboarding scenario. But there are no when-not conditions and no comparison against the sibling tools that perform the same underlying calls individually.

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