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generate_intelligent_contract

Generate a GenLayer Intelligent Contract with custom requirements, LLM integration, and web data access for blockchain applications.

Instructions

Generate a comprehensive GenLayer Intelligent Contract with advanced features including LLM integration, web data access, and proper GenLayer syntax

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contract_nameYesName of the contract class (PascalCase recommended)
requirementsYesDetailed description of what the contract should accomplish, including business logic and use cases
use_llmNoInclude LLM interaction capabilities with proper equivalence principles
web_accessNoInclude web data access capabilities for real-time information
storage_fieldsNoStorage fields for the contract with GenLayer type mappings
template_typeNoUse a predefined contract template for specific use casesbasic
Behavior2/5

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

No annotations exist, so the description must fully disclose behavior. It mentions 'generate' but does not specify side effects, authentication needs, rate limits, or whether the contract is returned as text or saved. This lack of detail limits transparency.

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

Conciseness4/5

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

The description is a single sentence covering the core purpose and key features. It is concise with no wasted words, though it could be restructured to front-load the key action more explicitly.

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?

Given 6 parameters and no output schema, the description does not explain the tool's return value (e.g., generated contract code) or behavior. It lacks information on what 'generate' entails, leaving critical gaps for an AI agent.

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 coverage is 100% with each parameter described. The tool description adds context by highlighting LLM integration and web access, which correspond to use_llm and web_access parameters, but does not elaborate further. Baseline 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 generates a comprehensive GenLayer Intelligent Contract with advanced features like LLM and web data access. It distinguishes from siblings like 'generate_contract_template' by specifying 'Intelligent Contract' and 'advanced features', though the exact boundaries are not fully delineated.

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 implies use for contracts needing advanced features (LLM, web access) but does not explicitly state when not to use or compare with alternatives. The sibling list provides context, but no direct guidance is given.

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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