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

Beyond the readOnly/idempotent annotations, it discloses the privacy contract ("answers are scored and never stored or logged") and the side effect of contact:true (opens /contact via URL elicitation for confirmation). It also explains the multi-step interaction protocol — first call returns questions, later call scores answers.

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?

The purpose is front-loaded, but the body is a single sprawling colon-and-semicolon-chained paragraph with nested conditions that are hard to parse on one read. The information is dense and mostly earns its place, yet it would benefit from being broken into distinct sentences or bullets.

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 an output schema covering the readout and full annotation and parameter coverage, the description supplies what structured fields can't: the question/answer round-trip, privacy handling, and client-mode branching. Only minor gaps remain, such as how the five scored areas are ordered in the response.

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%, so all three parameters are already documented, and the description largely restates the same branching logic (form, answers, contact). It does clarify sequencing ("call it without answers for the questions"), but adds little meaning the schema doesn't already carry — baseline 3.

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 names a specific verb+resource — a Databricks readiness and migration check — and details its mechanics (eight multiple-choice questions, fixed-point scoring into five areas, a readout with starting points and links). It is clearly distinguishable from siblings such as quiz_me or search.

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 gives concrete invocation branches: call with no answers to get the questions, form:true for form-capable clients, MCP Apps hosts score in-view, otherwise ask in chat and send answers. Example reader phrasings ("are we ready for Databricks", "assess our migration readiness") anchor the trigger. It doesn't state when NOT to use it or name a sibling alternative, so it stops short of a 5.

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