generate_product_stock_audit_report

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only says the tool returns JSON and Markdown and does not mention whether the operation is read-only, how the audit is computed, what data sources are involved, or what the output structure contains. 'Return' implies read-only, but that is inferred rather than stated.

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 front-loaded with the action and output formats, but it is concise at the expense of substance. It gets credit for being short and direct, yet the under-specification of the comparison semantics and parameters means the sentence does not do enough work.

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 tool with no annotations, low schema coverage, and many closely related sibling tools, the description is not complete enough. It does not explain what the comparative audit contains, what inputs mean, or how this report differs from similar report generators, leaving the agent to guess at the intended use.

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 0%, and the description does not explain either parameter. 'product_ids' is somewhat inferable from its name and type, but 'reference' is entirely unexplained: it could be a filter, a label, or something else, and the agent has no way to know how to set it correctly.

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 the verb ('Return') and the resource ('a comparative stock audit') and notes the output formats, but it never defines what 'comparative' means. It is unclear whether the audit compares products, time periods, or expected vs. actual stock, which is needed to distinguish it from sibling tools like compare_products_stock_history and audit_product_history.

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?

There is no guidance about when to use this tool versus the many sibling reporting/audit tools. With alternatives like generate_product_negative_stock_report, compare_products_stock_history, and audit_product_history, the description should explicitly indicate when this audit report is preferred or how it differs, but it does not.

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