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faf_auto

Initialize, detect stack, sync, bi-sync, and score a project in one call, producing a complete project.faf with its AI-readiness score.

Instructions

Run the full setup pipeline in one call — init, stack detection, sync, bi-sync, and score — taking a project from no context to a complete project.faf. Returns the final AI-readiness score and what was created. Use this as the fast path on a fresh project; use the individual tools when you need finer control.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoProject path. Sets session context for subsequent calls.
forceNoForce overwrite existing files
Behavior4/5

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

The description discloses that the tool returns the final AI-readiness score and what was created, and implies file creation/modification. However, it does not elaborate on potential side effects like overwriting or whether the tool is idempotent. The annotations (destructiveHint=false) align with the description's non-deletive nature, but a bit more nuance would be helpful.

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: the first succinctly states the tool's action and return, the second provides usage guidance. No extraneous information, perfectly front-loaded, and every sentence adds value.

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 the tool's complexity (composite of multiple steps), the description adequately covers its purpose, return value, and use case. The simple schema (2 params, no output schema) does not require extensive detail. However, it could hint at internal steps or side effects for completeness.

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 the baseline is 3. The description does not add additional meaning to the parameters ('path' and 'force') beyond what is already in the schema. It mentions the overall pipeline but does not explain how parameters affect the pipeline.

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 runs the full setup pipeline (init, stack detection, sync, bi-sync, score) and transforms a project from no context to complete. It distinguishes itself from sibling tools by noting that individual tools provide finer control, making its composite nature explicit.

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 directly says 'Use this as the fast path on a fresh project; use the individual tools when you need finer control.' This explicitly defines when to use the tool (fast path on fresh project) and when not to (when finer control is needed), providing clear conditional guidance.

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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