ghl_product_review_bulk_update

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

Annotations already indicate readOnlyHint=false and destructiveHint=false, and the description adds behavioral context beyond annotations: it is a bulk mutation operation, requires careful ID review, and includes OAuth scopes. This disclosure helps agents understand potential side effects and authorization needs.

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?

The description is relatively concise with key information front-loaded: purpose, then caution, then technical details. However, there is some redundancy with the title and endpoint info that could be trimmed. Overall efficient.

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?

Given the tool's complexity (nested parameters, no output schema), the description combined with the schema provides sufficient context to use the tool. It covers purpose, required scopes, and a critical caution. Missing details like return format are compensated by the schema and annotations.

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% with descriptions already present for all parameters. The description mentions 'status, reply, etc.' which aligns with the schema but does not add significant new meaning beyond what the schema provides. Baseline 3 is appropriate.

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 clearly states the verb 'Bulk-mutates' and the resource 'multiple reviews in one call', explicitly distinguishing it from sibling tools like ghl_product_review_update for single updates. The phrase 'approve/reject in batch' further clarifies the specific use case.

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 description provides clear context that this is for bulk operations and includes a caution to 'review the target reviewIds carefully before sending'. While it doesn't explicitly list when not to use it or name alternatives, the bulk nature is implicit, and the warning guides safe usage.

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