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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=false), and the description adds genuinely new context beyond them: the operation consumes AI credits and mirrors a UI 'Run button.' It does not say whether runs are reversible, rate-limited, or how long execution takes.

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?

One tight sentence with the action, its freshness guarantee, and its cost all front-loaded; no filler or redundancy.

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 output schema, the description should say more about what 'the fresh result' contains and what the id refers to. Cost and freshness are covered, and annotations handle safety, but the return shape and identifier semantics are left vague for a non-read-only execution tool.

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?

Single parameter 'id' has 0% schema description coverage (only an integer|string union type), and the description says nothing about what the id identifies — presumably an insight id, but that is left to inference. The description does not compensate for the coverage gap.

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?

States a specific verb and resource ('Run an insight now on current data') and signals a distinction from the sibling get_insight_result via 'fresh result.' It never names that sibling, so an agent must infer the routing rather than read it.

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?

Usage is implied rather than stated: 'now' and 'fresh result' suggest re-running when cached/last results are stale, and 'spends AI credits' implies a cost tradeoff. No explicit when-to-use, when-not-to-use, or named alternative (e.g., get_insight_result) is given.

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