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

With no annotations provided, the description carries the full behavioral burden and delivers none of it. It says nothing about what the tool actually does at runtime, what inputs it needs, whether it is read-only or mutating, or what it returns; instead it advertises a "30-day support promise" and "step-by-step instructions," which are commercial terms, not behavioral traits.

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 promotional copy with no front-loaded statement of function; the first clause is a category label and the remaining sentences are sales claims. Nothing is wasted in length, but the content is misallocated — the space that should define the tool's function is spent on packaging promises.

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?

The description mentions the domain (restaurant & brand intelligence) and that it relates to retention, but with no annotations and no output schema it never explains what the tool produces, how it differs from the four sibling retention tools, or what the query parameter changes. It conveys the topic but not enough to invoke it 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 parameter "query" is fully documented in the schema (100% coverage) as "Optional user query to scope the analysis," so the schema does the heavy lifting and a baseline 3 applies. The description adds no further meaning about how the query scopes or shapes output.

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 restates the tool name ("retention formula tool workflow") and labels itself an "intelligence pack" / "prompt kit" rather than stating a concrete verb and resource. An agent cannot tell what operation it performs or what artifact it produces, and there is no differentiation from the four sibling retention tools (retention-analyze-tool, retention-board-tool, retention-diag-tool, retention-tpl-tool).

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 preconditions, no exclusions, and no naming of the alternative retention-* tools an agent should pick instead. The only guidance offered is a marketing claim ("no prompt engineering needed"), which does not help selection.

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