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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the meaningful detail that output is grounded in "this store's own setup and numbers" (personalized, not generic advice) and that omitting `app` widens scope to all installed apps. It says nothing about the shape, count, or ordering of returned suggestions, which the annotations cannot cover.

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?

Two short sentences with no filler, and the core value proposition is front-loaded before the default-scope clause. Every clause carries information the agent cannot get from the schema or annotations.

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?

For a zero-required-parameter, read-only tool with a fully described schema and clear annotations, the definition covers what the agent needs to invoke it correctly, including default scoping. It is slightly thin on the qualitative nature of the output (are these app recommendations, settings tweaks, campaign ideas?), which matters because "ideas" is open-ended.

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 100% and the `app` enum is documented in detail, including product names and feature descriptions, so the schema does the heavy lifting. The description adds the one thing the schema omits: the behavior of `app` when it is not supplied (aggregate across all installed EA Apps). That is a useful but single addition, so baseline 3 fits.

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?

"Ideas for what to try next, based on this store's own setup and numbers" states a specific resource (personalized recommendations) and how they are derived, so the agent knows this is a suggestion engine rather than a data dump. It does not distinguish itself from the many data-reading siblings (get_setup, get_stats, get_item), so it stops short of a 5.

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?

The only guidance is the scoping note "Without `app`: across all installed EA Apps," which describes parameter behavior rather than when to select this tool over get_setup or get_stats. There is no explicit when-to-use, when-not-to-use, or alternative named, so usage must be inferred.

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