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

No annotations are supplied, so the description carries the full disclosure burden. It does convey what the analysis will cover and that it spans strategy through a 0-90 day GTM plan, which tells the agent the shape of the output. However it says nothing about required inputs (sales mix, cost data, site capacity), whether the result is advisory text versus a structured artifact, or any limits on scope.

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?

One front-loaded sentence that leads with the domain role and then lists the analytical modules, with zero filler. It is jargon-dense but every clause names a distinct capability, so nothing is wasted.

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?

With no output schema and no annotations, the description must stand alone, and it does cover the deliverables reasonably well. The material omission is input prerequisites: menu engineering requires sales mix, cost, and capacity data that the agent is never told to supply, so a caller could invoke it with an empty query and get an under-specified brief.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already explains the 'query' field. The description adds no syntax, format, or content guidance for that parameter beyond the schema baseline.

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 names a concrete domain (chain-restaurant menu engineering) and enumerates specific deliverables: four-quadrant analysis, golden SKU count, price-band ladders, combo/attach-rate design, and a 0-90 day GTM plan with margin modeling. That is far more specific than a tautology. It fails to reach 5 because it never differentiates itself from the near-identical siblings fnb-menu-engineer and sanhao-menu-engineering, which an agent cannot distinguish from this description.

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?

There is no statement of when to use this tool, when not to, or which sibling to prefer for adjacent tasks such as menu-cost-calculator, takeout-menu-optimizer, or fnb-new-product-launch. The usage is only inferable from the domain label, which is a clear gap in a catalogue with three menu-engineering tools.

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