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

With no annotations, the description carries the full disclosure burden, and it only hints that the output is a static prompt plus a playbook — no mention of what the response looks like, whether the tool analyzes anything, or how the optional query influences results. The marketing framing ("save hours every week") conveys no behavioral facts.

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?

It is short, but the front-loaded sentence is pure hype ("Save hours every week") rather than function, and the remaining sentences are value-prop filler. No sentence states the operative fact an agent needs before invoking it.

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, no output schema, and an internally inconsistent subject (divorce docs vs. restaurant/brand growth), the definition leaves an agent unable to tell what the tool returns or when to pick it over any sibling. This is inadequate for even a one-parameter tool.

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 coverage is 100% and the single optional `query` parameter is documented in the schema itself, so the baseline of 3 applies. The description adds nothing about the query — it never mentions it — and arguably conflicts with it by presenting the tool as a static prompt kit rather than something scoped by analysis input.

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?

"This divorce doc guide toolkit gives you a battle-tested prompt and operating playbook" gestures at a deliverable (a prompt/playbook), but the same sentence scopes it to "restaurant/brand growth," which contradicts the tool name and the divorce-document framing. No specific verb+resource pair tells an agent what calling this tool actually produces.

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 at all: no trigger conditions, no exclusions, and no pointer to any of the many sibling tools (e.g. contract-audit-tool, brand-fnb-playbook) that overlap with the stated topics. "No setup, works in any LLM chatbot" is a sales claim, not usage direction.

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