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faf_score

Read-only

Measure how easily AI can read your project with F1-inspired metrics. Get a score and detailed suggestions for improvement.

Instructions

Calculate your project's AI-readability from project.faf (project DNA for AI) - F1-inspired metrics! 🧡⚡️

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailsNoInclude detailed breakdown and improvement suggestions
pathNoProject path. Sets session context for subsequent calls.
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds context about AI-readability and project.faf, but does not disclose what happens with default parameters or how the score is returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence, concise and front-loaded. The emojis are non-essential but do not detract significantly.

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

Completeness3/5

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

The description is adequate for a simple scoring tool with no output schema, but it does not explain the return format or how results are presented. It covers the core functionality but lacks detail.

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?

Input schema coverage is 100% with clear descriptions for both parameters. The description does not add significant additional meaning beyond what the schema already provides.

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 calculates AI-readability using project.faf, with F1-inspired metrics. However, it does not differentiate from siblings like faf_check or faf_dna, which could have overlapping purposes.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use, or recommended context.

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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