chunker_chunk_list

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

The description provides basic return format but does not disclose edge case behavior (e.g., empty list, null size) or whether the operation is read-only or has side effects. No annotations to compensate.

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 brief and front-loaded with the action. However, it may be too terse, omitting important details like default behavior.

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 and presence of an output schema, the description is partially adequate but lacks usage guidelines and edge case handling. The many sibling tools increase the need for more context.

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?

The description explains that 'size' controls batch size, but does not clarify the default behavior (null size) or validate assumptions. Schema coverage is 0%, so description adds some value but not enough.

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 'Split a list into batches of size' with the return format. However, it does not differentiate from sibling tools like chunker_chunk_by_separator or chunker_chunk_sliding_window, which also split lists.

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 on when to use this tool versus alternatives. Given many chunker siblings, the lack of usage context is a significant gap.

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