Skip to main content
Glama

faf_init

Initialize a new project.faf file with name, goal, and language. Returns the file path and starting score without overwriting existing files unless forced.

Instructions

Create a new project.faf with a name, goal, and language. Returns the file path and starting score. Won't overwrite an existing file — use faf_auto to fill the stack from your manifests, or faf_go for the human 6Ws.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoProject path or name. Smart resolution: "my-app" finds ~/Projects/my-app OR ~/Code/my-app. Full paths like ~/Projects/app or /Users/me/code/app work too. Omit to use current directory.
forceNoOverwrite existing project.faf if it exists
Behavior4/5

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

Annotations already indicate readOnlyHint=false (write operation) and destructiveHint=false (not destructive). The description adds value by clarifying that it won't overwrite without force and that it returns the file path and starting score, but does not elaborate on other behavioral aspects like permissions or side effects.

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?

Two sentences: first states purpose, second gives caveats and alternatives. No unnecessary words, and critical information is front-loaded.

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?

For a simple tool with two optional parameters and no output schema, the description covers purpose, return values, and alternatives. The mismatch between description and schema inputs (name/goal/language) is a minor gap, but overall context is adequate.

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 coverage is 100%, providing descriptions for both parameters (path, force). However, the description mentions 'name, goal, and language' which are not schema parameters, creating confusion about the tool's inputs. It adds little meaningful parameter information beyond what the schema already provides.

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 uses the verb 'Create' and specifies the resource 'project.faf', mentioning that it includes a name, goal, and language. It clearly distinguishes from sibling tools by naming faf_auto and faf_go as alternatives for different tasks.

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 states that it will not overwrite an existing file and provides specific alternative tools (faf_auto, faf_go) for different use cases, giving clear when-to-use and when-not-to-use guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Wolfe-Jam/claude-faf-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server