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

No annotations are supplied, so the description carries the full burden. It hints that output is 'a full prompt kit with step-by-step instructions', which is a small amount of behavioral signal, but it says nothing about whether anything is mutated, what permissions or auth are needed, how large the output is, or what the '30-day support promise' means operationally. The support promise is commercial copy, not behavior.

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 sales copy where one functional sentence is needed. The '30-day support promise' and 'no prompt engineering needed' clauses consume space without informing invocation, and the actual purpose is buried after the misleading 'restaurant & brand intelligence pack' lead.

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 annotations and no output schema, the description is the only source of truth, and it never states concretely what the agent gets back or how the single parameter changes the result. For a zero-required-parameter generator the bar is low, but the definition still leaves the essential question — what does calling this produce — unanswered.

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 'query' parameter with 100% schema description coverage, so the schema already documents it and the baseline is 3. The description adds nothing about how the query scopes the generated kit, so it neither compensates nor detracts.

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 name says 'video-watermark-toolkit', but the description opens by calling itself an 'AI-powered restaurant & brand intelligence pack' before pivoting to 'generate a ready-to-use video watermark toolkit workflow'. That internal mismatch leaves the agent unsure whether the tool produces a watermark workflow, a restaurant analysis, or a prompt kit, and nothing distinguishes it from the dozens of sibling '-kit' and '-tool' entries.

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 pick instead. The only situational cue is marketing framing ('no prompt engineering needed'), which does not help an agent route between this and adjacent tools like shoot-script-studio or video-shot-script-master.

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