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

Annotations already flag destructive, open-world and non-idempotent behavior, and the description adds real value on top: paid-plan gating, "omitting it may replace earlier derived results" (the destructive mechanism), public website visiting, and an approval requirement. It stops short of saying whether the run is asynchronous or what happens to in-flight results.

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?

Front-loaded with the purpose, then five short clauses that each carry information; no filler or restatement of the title. The telegraphic style is slightly compressed but readable.

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?

An output schema exists, so return values need no explanation, and the destructive/open-world profile is covered. Still missing for a paid, approval-gated, destructive start operation: what messageId actually is, and how this differs from start_study_run.

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 0%, so the description carries the full burden, yet it explains only assetKey (reuses completed analysis of that asset). The required messageId plus studyId and studyName are left entirely undefined, which is a large gap for a 4-parameter mutation.

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?

"Starts attention analysis of an assigned image, video or website" gives a specific verb (starts), resource (heatmap/attention analysis) and the supported asset types. It does not, however, differentiate itself from the close sibling start_study_run, leaving the agent to infer which entry point applies.

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?

Preconditions are stated (one response per Mind, paid plan required, explicit approval required) and the assetKey reuse-vs-replace tradeoff is spelled out. What is missing is routing guidance: no mention of when to pick this over start_study_run or how it relates to get_study_heatmap/export_heatmap.

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