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

No annotations are supplied, so the description carries the full behavioral burden, yet it discloses nothing about execution: no output shape, no side effects, no idempotency, no auth. The only hint ('ships as a full prompt kit with step-by-step instructions') suggests the return is a prompt artifact, but it is buried in marketing language and paired with a '30-day support promise' that has no bearing on tool invocation.

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?

Three sentences, of which two are pure marketing ('no prompt engineering needed', '30-day support promise') and one is a near-verbatim restatement of the tool name. The only potentially useful clause is not front-loaded, and the misleading 'restaurant & brand intelligence pack' framing leads the paragraph.

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 is the sole source of truth for how this tool behaves, and it omits the return format, the meaning of the 'tpl' variant, and its position among five funnel siblings. For a tool in a heavily duplicated family, that leaves an agent unable to call it correctly or confidently.

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 already has a 100% schema description ('Optional user query to scope the analysis.'), which is the documented baseline case. The description adds nothing about what the query scopes or how it changes results, so it neither helps nor misleads.

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 opens with 'AI-powered restaurant & brand intelligence pack', which does not match a funnel-template tool at all, then restates the name with 'generate a ready-to-use funnel tpl tool workflow'. It never says what a 'tpl tool' actually produces or how it differs from the funnel-analyze-tool, funnel-board-tool, funnel-diag-tool, and funnel-formula-tool siblings it sits beside.

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 when-to-use guidance, no prerequisites, and no named alternative. 'No prompt engineering needed' is a sales claim, not a routing rule, so an agent has no basis for choosing this tool over the four other funnel-prefixed tools.

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