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pedronahum

JACTUS MCP Server

by pedronahum

jactus_get_quick_start

Get a quick start example with ready-to-run Python code to simulate a PAM (Principal at Maturity) contract using the JACTUS API.

Instructions

Get a simple quick start example showing a basic PAM contract simulation.

Returns ready-to-run Python code that creates a PAM (Principal at Maturity) contract and simulates it. Good starting point for learning the JACTUS API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses that the tool returns 'ready-to-run Python code' but does not elaborate on side effects or behaviors. With no annotations provided, the description adequately conveys that this is a read-only, non-destructive action.

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 with two sentences, no extraneous information. It front-loads the action and provides a brief explanation and use case.

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

Completeness5/5

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

Given zero parameters and the presence of an output schema, the description fully covers what the tool does, including the type of output (Python code) and its purpose (quick start for PAM simulation). No further context is needed.

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?

There are no parameters, and schema coverage is 100%. The description does not need to add parameter details. It clearly explains the output, which is sufficient for a parameterless tool.

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?

Description clearly states it returns Python code for a basic PAM contract simulation, with a specific verb ('Get') and resource ('quick start example'). It distinguishes from sibling tools like jactus_get_example and jactus_list_examples by focusing on a simple introductory example.

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

Usage Guidelines4/5

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

The description states it is a 'good starting point for learning the JACTUS API,' which implies use by beginners. However, it lacks explicit guidance on when not to use it or alternatives (e.g., jactus_get_example for more complex examples).

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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