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Start an architecture project

archforge_start_project

Create an architecture-design project from an app idea, returning the project ID and interview question ID catalog so implied answers can be pre-filled before running the requirements interview.

Instructions

Create a new architecture-design project from the user's app idea. Returns the project id and the catalog of interview question ids so you can pre-fill answers the idea clearly implies. Follow with archforge_ask.

Input Schema

NameRequiredDescriptionDefault
nameYesShort project name, e.g. "FoodDash".
descriptionYesThe user's idea / requirements in their own words (keep their wording; include every detail they gave).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the load and does disclose non-obvious behavior: it creates persistent state and returns both a project id and an interview-question catalog used for pre-filling. It omits permission/auth requirements and what happens on duplicate names, but the mutation and return shape are clear.

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?

Three short sentences, front-loaded with the action, then the return value, then the next step. Nothing is repeated or wasted.

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?

For a two-parameter creation tool with no output schema, the description covers the action, the inputs' intent, and the return payload, which is everything an agent needs to invoke it and act on the result.

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 100%, so both parameters are already documented in the schema; the description adds only the framing that the description field is the user's idea driving the project and downstream pre-fill. That is marginal added meaning, matching the baseline 3.

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?

States a specific verb and resource ('Create a new architecture-design project') and grounds the input ('from the user's app idea'), which cleanly separates it from siblings like archforge_generate_design or archforge_ask.

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?

Gives explicit sequencing ('Follow with archforge_ask') and implies this is the entry point of the workflow. It does not state when-not to use it (e.g., resuming an existing project via archforge_status), so it stops short of full routing guidance.

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