Ai Readiness Scan

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only mentions the assessment's size and scope; it does not say whether the operation is read-only, what side effects occur, how answers are processed, or what happens on completion. The optional-answers behavior is documented only in the schema, not here.

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

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

The description is a single sentence with no filler, and the key action and scope are front-loaded. It is suitably concise, though it partially repeats the tool name and title before contributing the useful '60 questions across 5 AI domains' detail.

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

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

Given two parameters, full schema coverage, and an output schema, the description plus schema forms a minimally viable definition for calling the tool. However, because there are no annotations and the description omits behavioral and usage guidance, the overall context is adequate but not complete.

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

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

Schema description coverage is 100%, so the schema already covers the 'project' and 'answers' parameters. The description adds contextual scope by saying there are 60 questions across 5 AI domains, which helps interpret the answer dictionary, but it does not add explicit parameter-level details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Run') and a clear resource ('AI Readiness Scan assessment'), and adds concrete scope with '60 questions across 5 AI domains'. It distinguishes itself from sibling tools like cicd_readiness_scan by focusing on AI readiness, though it does not explicitly name or contrast any sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The usage context is implied: use this tool when you need an AI Readiness Scan assessment. However, there is no explicit guidance about when to choose this over alternatives such as maturity_assessment or cicd_readiness_scan, and no exclusion conditions.

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