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pedronahum

JACTUS MCP Server

by pedronahum

jactus_get_example

Retrieve the full source code, docstring, and metadata for a specific ACTUS financial contract example. Use after listing available examples.

Instructions

Retrieve a specific code example's source code.

Returns the full source code, docstring, and metadata for an example. Use jactus_list_examples first to see available examples.

Note: Requires JACTUS source tree access. Set JACTUS_ROOT env var if needed.

Args: example_name: Name of the example (e.g., pam_example, interest_rate_swap_example).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
example_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description fully discloses the tool's behavior: it returns source code, docstring, and metadata. It also mentions the dependency on the JACTUS source tree, covering operational constraints.

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 (6 lines), front-loads the main action, and provides essential usage guidance without superfluous detail.

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?

Given the presence of an output schema, the description omits return value details appropriately. It covers purpose, usage, and prerequisites, but could mention error handling for invalid example names.

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 0%, so the description must add meaning. It provides an example value (e.g., pam_example) but lacks format constraints or a full list of acceptable names, offering only minimal extra context.

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 retrieves source code for a specific example, with a strong verb-resource pairing. It distinguishes itself from siblings like jactus_list_examples and jactus_run_example, which serve different purposes.

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 advises to use jactus_list_examples first and notes the JACTUS_ROOT environment variable requirement, providing clear when-to-use and prerequisites.

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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