nexo_learning_list

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

No annotations are provided, so the description carries full burden. It only states the basic function without disclosing behavioral traits such as read-only nature, side effects, pagination, or how grouping actually works. The agent lacks critical context about the tool's behavior.

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 sentence, very concise. It conveys the core purpose without extra words. However, it could include more information without becoming bloated, so it slightly misses the balance between conciseness and completeness.

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 no output schema, no annotations, and many sibling tools, the description is too sparse. It does not explain the output format, grouping details, or how filters interact with grouping. An agent would need to infer significant behavior, making it incomplete.

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 coverage is 100% and descriptions are provided for all parameters. The description adds minimal value beyond the schema: it mentions grouping by category but does not elaborate on created_after, created_before, or limit behaviors. Baseline 3 is appropriate as schema already details parameters.

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 explicitly states 'List all learnings, grouped by category,' which provides a specific verb and resource. It distinguishes this tool from siblings like nexo_learning_search (search) and nexo_learning_add (add) by focusing on listing with grouping.

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 usage for listing learnings with optional category filtering, but it does not provide explicit guidance on when to use this tool versus alternatives like nexo_learning_search. No when-not or prerequisite information is given.

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