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faf_sync

Sync project.faf into AI context files by injecting a structured .faf block at the top, preserving existing prose below. Keeps tools current with one source of truth.

Instructions

Sync project.faf into your AI context files (CLAUDE.md, AGENTS.md, .cursorrules, GEMINI.md). Non-destructive: injects a structured .faf block at the top for fast machine reading and preserves your prose below. One source of truth, every tool kept current.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It discloses non-destructive behavior and action (inject at top, preserve prose). However, it does not specify behavior if .faf block already exists, file permissions, or error handling, leaving some gaps.

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, front-loaded with the core action, then adds qualifiers. Every sentence serves a purpose—no waste.

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 zero parameters, no output schema, and a simple operation, the description covers the action, target files, and key behavioral traits. Lacks details on prerequisites or failure modes, but sufficient for basic use.

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

Parameters4/5

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

The input schema has zero parameters with 100% coverage, so baseline is 4. The description adds value by explaining the tool's purpose without relying on parameters, so no deduction.

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 syncs project.faf into specific AI context files, listing them explicitly. It distinguishes from siblings by specifying its unique action (injecting a .faf block) and its non-destructive nature.

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?

The description explains when to use the tool (to sync project.faf into context files) and mentions its non-destructive property. However, it does not explicitly compare with siblings like refresh_faf or refresh_blend, missing an opportunity to guide selection.

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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