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

With no annotations, the description carries the behavioral disclosure burden. It states the read-only nature, bounded newest-first ordering, and the meaningful semantics of an empty list. It does not cover error conditions or authentication, but for a lightweight read tool this is substantial and useful 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?

Every sentence delivers distinct value: purpose and ordering, when to call and why, entry content, and empty-list meaning. The description is front-loaded with the most important operational facts and has no filler.

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?

The description covers purpose, usage timing, output semantics, and entry structure despite having no output schema. It is slightly incomplete around failure modes and pagination behavior, but for an orientation-focused read tool the essentials are all present.

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 schema already explains both solution_id and limit. The description reinforces the 'bounded' and 'newest first' aspects but does not add significant parameter-level meaning beyond the schema.

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 identifies the tool as reading lessons learned by earlier runs, scoped to a solution, and notes it returns newest-first bounded results. It distinguishes itself from sibling tools like ateam_log_lesson and ateam_get_progress by stating it is the only thing that carries context across runs.

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 gives explicit timing guidance: call during orientation, before planning. It also emphasizes the tool is cheap and uniquely carries cross-run context. It does not explicitly name alternatives or say when not to use a different tool, so it misses the top score on this dimension.

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