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jakedx6

Helios-9 MCP Server

by jakedx6

prompt_to_project

Convert natural language project descriptions into structured entities. Analyze mode returns a plan template; create mode executes the plan.

Instructions

Convert a natural language project description into structured project entities. In analyze mode, returns a template for the AI agent to fill. In create mode, executes the agent-provided plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
execution_modeYes
project_planNo
Behavior2/5

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

No annotations exist, and the description does not disclose behavioral traits such as side effects, permissions, or state changes. The two modes are mentioned but without deeper behavioral context.

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 sentences, front-loaded with the core purpose, and contains no fluff. Every sentence adds value.

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

Completeness1/5

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

Given no output schema and no annotations, the description is too minimal. It does not explain what 'structured project entities' are, what the template looks like, or error/return behavior. Incomplete for agent decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds minimal meaning: it clarifies prompt is natural language and execution_mode has two values, but project_plan is only mentioned as required for create mode. No detailed parameter semantics.

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 converts natural language to structured project entities, with two modes. However, it does not explicitly differentiate from sibling tools like create_initiative, which may overlap.

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

Usage Guidelines2/5

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

The description explains the two modes but provides no guidance on when to use this tool versus alternatives like create_initiative or other project-related tools. No when-not-to-use or prerequisite information.

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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