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faf_score

Read-only

Calculate your project's AI-readability using F1-inspired metrics from project.faf. Optionally receive a detailed breakdown with improvement suggestions.

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 declare readOnlyHint=true, and the description is consistent. However, the description adds minimal behavioral context beyond the schema and annotations, such as mentioning 'F1-inspired metrics' which provides some insight into the scoring methodology.

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 a single concise sentence that effectively communicates the tool's purpose without unnecessary words.

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?

While the description explains what the tool does, it does not specify the output format or range of the score. Given the absence of an output schema, more detail about the return value would improve 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 parameters are already documented in the schema. The description does not add any additional meaning beyond what the schema 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 clearly states the tool calculates AI-readability from project.faf using F1-inspired metrics, distinguishing it from other sibling tools that have different 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 does not provide any guidance on when to use this tool versus alternatives, nor does it specify prerequisites or when not to use it.

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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