label

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

With no annotations, the description must disclose behavioral traits. It mentions that delete is permanent and reorganize requires confirm=True, but it does not detail other side effects (e.g., whether renaming affects existing sources). The description adds moderate value beyond the already-detailed input schema.

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 very concise, using four short paragraphs. The first line states the purpose, then constraints, then a bullet list of actions. Every sentence contributes value with no redundancy.

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 complexity (9 parameters, 8 actions) and the presence of an output schema, the description covers key behavior like prerequisite for auto-labeling and confirmation requirements for destructive actions. It is mostly complete, though it does not describe all possible interactions (e.g., listing behavior).

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 summarizes actions but does not add new semantic details for parameters beyond what the schema already provides.

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 it is a unified tool for all label operations in a notebook, listing specific actions (auto, list, reorganize, create, rename, set_emoji, move_source, delete). This distinguishes it from sibling tools like 'tag' which likely deals with different entity types.

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 provides when to use the tool (any label management) and includes a prerequisite (5+ sources for auto-labeling). However, it does not explicitly contrast with alternative tools or state when not to use it.

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