get_product_details

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

With no annotations, the description carries the burden. It discloses that the tool always includes README content if found, and summarizes return fields (account info, storage config, roles, tags). However, it does not mention side effects (likely none, read-only), error behavior for missing products, or permission needs. The description adds moderate behavioral context.

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 concise and well-structured: a single-line summary, a key note about README, then Args, Returns, and Example sections. Every sentence adds value without redundancy. It is appropriately sized for the tool's simplicity.

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 simplicity (2 string params, no enums, output schema exists), the description covers the main functionality, return structure summary, and includes an example. It lacks error handling details or explicit read-only indication, but for a straightforward retrieval tool it is largely complete.

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?

Input schema has 0% description coverage, so the description must compensate. It provides examples for account_id ('harvard-lil') and product_id ('gov-data') in the Args section and a usage example. However, it does not explain the nature of these IDs (e.g., account name vs. identifier) or valid formats. The examples add partial semantics but not full detail.

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 'Get comprehensive metadata for a specific product' with a strong verb and resource. It distinguishes from sibling tools like get_file_metadata (file-level) and list_products (list of products) by focusing on a single product's full details, including README.

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?

No guidance is provided on when to use this tool versus alternatives. For example, it does not explain that this tool is for detailed retrieval of a known product versus using list_products for summaries or get_file_metadata for file-level info. The description lacks explicit 'when to use' or 'when not to use' context.

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