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

With no annotations, the description must disclose behavior, but it only offers sales copy: 'ships as a full prompt kit' and a '30-day support promise.' It does not say whether the tool generates content, mutates anything, requires auth, or what a caller receives, so behavioral transparency is poor.

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 text is short, but it is front-loaded with promotional positioning rather than a task statement, and lines like '30-day support promise' and 'no prompt engineering needed' do not help an agent invoke the tool. The functional sentence is buried and vague.

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?

For a low-complexity, one-optional-parameter tool, the definition still needs to explain the generated artifact and its place among roi-analyze/diag/formula/tpl siblings. It omits both, so an agent cannot confidently select or scope it.

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?

The single optional query parameter has full schema description ('Optional user query to scope the analysis'), so the schema already carries parameter semantics. The description adds no information about how query influences the board output, leaving it at the baseline for high coverage.

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 labels itself an 'AI-powered restaurant & brand intelligence pack' and promises to 'generate a ready-to-use roi board tool workflow,' but it never says what the tool actually produces or how a 'roi board' differs from the many roi-* siblings. It largely restates the name inside promotional framing.

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?

No when-to-use guidance is given: there is no mention of roi-analyze-tool, roi-diag-tool, roi-formula-tool, or roi-tpl-tool, nor any condition that selects this board workflow over them. The only usage-adjacent claim is 'no prompt engineering needed,' which does not help an agent choose.

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