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

The annotations only declare readOnlyHint=true and openWorldHint=true; the description adds that results are paginated search-result rows, which tells the agent the output shape isn't a fixed list — useful beyond annotations. It stops short of describing pagination limits or result ordering, so it's strong but not fully rich.

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 sentences, front-loaded with the core action and scope, followed by sibling routing. No filler, no restating the tool name.

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 an 8-parameter read-only search with a full schema and an output schema, the description covers purpose, scope, and routing completely. It doesn't need to explain return values because an output schema exists. The only minor gap is no mention of pagination behavior at a high level, which the truncated description may or may not cover.

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 every one of the 8 parameters already has a described purpose, enum-like allowed values, and defaults. The description adds no parameter-specific detail, which is the correct baseline when the schema does the heavy lifting.

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 (Search) and resource (Microsoft Store apps, games, devices, and other listings) and clarifies the return shape (paginated search-result rows). It names the sibling tools it is not (suggest, spotlight, charts), so an agent can route without opening other schemas.

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?

Explicitly routes to the correct alternatives: microsoftstore_suggest for query completion, microsoftstore_spotlight for editorial picks, microsoftstore_charts for ranked lists. This is the strongest form of when-to-use guidance shown in the calibration examples.

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