list_manufacturers

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

There are no annotations, so the description carries the full burden for behavioral disclosure. It does provide some useful behavioral details: name is a partial-match filter, page starts at 1, page_size max is 1000, and the return is a JSON string. However, it does not mention authentication, rate limits, or explicitly state that the operation is read-only (though 'List' implies it). For a simple list tool, this is adequate but lacks richer 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 tightly structured: a one-line purpose, a single context sentence, a concise Args list, and a Returns line. There is no fluff; each section earns its place, and the key action is front-loaded. Formatting is clean and scannable.

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 list tool with three optional parameters and an output schema present, the description provides all essential information: purpose, parameter semantics, and return format. Pagination constraints and the partial-match filtering are covered. There is no missing critical detail for an agent to call this tool correctly, given the output schema fills in return structure.

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%, so the description must compensate. It does so thoroughly: the Args section explains that 'name' is a partial match filter, 'page' starts at 1, and 'page_size' returns up to 1000 results. These details go far beyond the schema's bare type/default information and give the agent everything needed to use the parameters 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 opens with 'List all manufacturers,' which is a specific verb and resource. It adds context that manufacturers are used when creating configurations to specify the device manufacturer (e.g., Dell, HP, Cisco), making the purpose relatable. However, it does not explicitly differentiate this 'list' tool from the sibling 'search_manufacturers,' so the purpose is clear but sibling differentiation is left to the user.

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 sentence 'Manufacturers are used when creating configurations to specify the device manufacturer' implies a use case: when an agent is building a configuration and needs a manufacturer reference. But it gives no explicit guidance on when to choose this tool over a sibling like search_manufacturers, and mentionot contain when-not-to-use guidance. The usage is implied rather than stated, so 3 is appropriate.

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