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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so safety concerns are covered. The description adds useful behavioral context beyond them, including the weekly refresh cadence and the fact that results carry confidence, underlying evidence, and a short narrative. It stops short of describing pagination or how much history is retained.

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?

A single front-loaded sentence that conveys the source, cadence, scope, examples, and return payload with no wasted words. Nothing needs re-reading or trimming.

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 zero parameters and no output schema, the description carries the burden of describing results and does so well (confidence, evidence, narrative). Coverage of scope ('each tracked brand') is present, though it is vague about time horizon and whether predictions are returned for all brands unconditionally.

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 tool takes zero parameters, which is the baseline-4 case. The description correctly implies no input filtering by framing the output as covering 'each tracked brand,' consistent with an empty schema.

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 (predicts), resource (each tracked brand's likely next moves), source (RivalSweeper's weekly predictions), and concrete examples (a sale, a launch). It clearly states scope and return content, but it never distinguishes itself from closely named siblings like get_competitor_moves_feed or get_significant_competitor_changes, leaving the agent to infer which one to pick.

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 explicit when-to-use, when-not-to-use, or naming of alternatives, despite the presence of several plausible sibling tools covering competitor moves. The weekly cadence is mentioned but framed as a property of the data, not as routing guidance.

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