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 and fails it: nothing is said about whether the tool reads or writes, whether it executes SQL or only generates a formula, what permissions or costs are involved, or what happens on failure. "Includes the complete prompt, usage guide, and edge-case handling" describes packaged content, not runtime 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?

It is short, but the length is spent on sales language rather than the functional facts a caller needs. The opening sentence is a slogan that conveys zero operational information, while the actual behavior of the tool is omitted entirely.

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 must explain both behavior and expected return, and it does neither. An agent cannot tell what this tool produces or how it differs from its four sibling SQL tools, making the definition unusable for selection.

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 description coverage is 100% and the single optional `query` parameter is documented in the schema as "Optional user query to scope the analysis". The description adds nothing about how the query shapes the output, so the baseline 3 applies.

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 name ("This sql formula tool prompt pack") and layers on marketing slogans ("Turn expertise into output", "professional results in minutes") rather than stating a verb and resource. It never explains what the tool actually does with a SQL query, and it does not distinguish itself from the adjacent sql-analyze-tool, sql-board-tool, sql-diag-tool, or sql-tpl-tool siblings.

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 guidance on when to use this tool, when not to, or which sibling to pick for a given SQL task. The only audience cue ("restaurant and brand teams") is a marketing target, not a selection condition an agent can act on.

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