count_products

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

With no annotations provided, the description carries the full burden. It implies a read-only operation via the verb 'count', which is inherently non-destructive, but it does not disclose any additional behavioral traits such as the return value format (e.g., whether it returns just an integer) or whether the count reflects real-time data. This is a minimal but acceptable level of transparency for a simple count tool.

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 a single, front-loaded sentence (12 words) that directly states the action and parameters. Every word contributes value, and there is no redundant or irrelevant content.

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 simple count tool with 3 optional parameters and no output schema, the description adequately covers the core function and filter options. It would benefit from explicitly stating the return value (e.g., 'returns the number of products'), but the tool's name makes this obvious. It is sufficiently complete for an agent to select and use the tool 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%, so the baseline is 3. The description reiterates that filters are optional and lists the parameter names, but it does not enrich the semantics beyond the schema. For example, it does not clarify whether filters are combined with AND/OR or how matching works for vendor and product_type. The added 'total products' hints at default behavior, but this is marginal.

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 uses a specific verb 'Count' and a resource 'products in the store', clearly distinguishing this from sibling count tools like count_orders and count_customers. It also lists optional filters (status, vendor, product_type), which aligns with the schema. This is unambiguous and specific.

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 implies the tool should be used when a count is needed, but it does not explicitly contrast with list_products or search_products, which are sibling tools. There is no stated 'when not to use' or alternative recommendations. The context is clear but not fully explicit.

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