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

No annotations are provided and there is no output schema, so the description bears full disclosure burden — and it does substantial work by detailing the entire returned payload (statuses, issue counts, account issues, feeds). It omits the read-only/safety profile, permission requirements, and any latency or rate-limit behavior for an account-diagnostic call.

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 purpose and followed by a dense but relevant enumeration of returned categories; the closing clause routing the user to this tool is well placed. The middle sentence is long, but each listed item is distinct information rather than filler.

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, no annotations, and only three simple string parameters, the description compensates well by spelling out the full contents of the response and the diagnostic scenario that selects it. A read-only status tool needs little more than this to be invoked correctly.

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% with 3 parameters, so the schema already explains merchant id provenance (merchant_accounts), the account e-mail override, and the language default. The description adds no parameter-level meaning beyond that, which is the expected baseline when the schema carries the load.

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 states a concrete deliverable — "the health of a Merchant Center account in one call" — and enumerates exactly what that snapshot contains (product statuses per destination/country, top product issues with affected counts, account-level issues, data sources). It is clearly distinguishable in substance from merchant_accounts (listing) or merchant_product (single product), though it never names a sibling explicitly.

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?

It gives an explicit entry-point trigger: "Start here when Shopping traffic dropped or products are disapproved." That is a real usage condition rather than vague context. It stops short of stating when NOT to use it or which sibling to pick for a narrow, single-product lookup.

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