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, and it discloses nothing: no indication of whether analysis is read-only, what it operates on, whether it executes anything, or what it returns. The phrase "copy-paste prompt pack with examples" describes a deliverable format, not tool 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?

Only two sentences, but both are promotional filler ("production-ready", "run today", "copy-paste prompt pack") and the actual capability is never front-loaded. The text is short yet wastes its entire budget on positioning.

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 tool takes an optional query and returns something unexplained, with no annotations and no output schema. The description should clarify what the analysis produces and how the optional query changes it, but supplies nothing actionable for correct invocation.

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?

With a single optional parameter at 100% schema description coverage, the schema fully documents the `query` field. The description adds no meaning about how the query scopes the analysis or what happens when it is omitted, 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 tool name ("sql analyze tool") and appends marketing language rather than stating a specific verb and resource. It never says it analyzes SQL queries, nor distinguishes it from siblings like sql-diag-tool, sql-formula-tool, or sql-board-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?

It names an audience ("marketing and operations leaders") but gives no condition for when to call this versus the many sibling sql-* tools, no prerequisites, and no exclusions. An agent has no basis for choosing this tool over sql-diag-tool.

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