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

Annotations already carry the read-only safety profile, so the bar is lower, and the description still adds real context: the list is 'live' rather than frozen, each item is pending/materialized/dismissed, materialized items expose task_id, and relevance/action_clarity are the extractor's self-graded scores. It does not mention pagination or ordering beyond the scoring hint.

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?

Front-loads the definition, then adds lifecycle and scoring notes in three short, well-separated paragraphs. The relevance/action_clarity sentence is informative rather than filler, though the description is a touch longer than strictly necessary for a read-only list tool.

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?

With no output schema, the description compensates by describing the shape of returned items: the three lifecycle states, task_id on materialized items, and the two scoring fields. That is enough for an agent to interpret results; only ordering/pagination behavior is left unstated.

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 documents meeting_id, workspace_id and incluir_descartados. The description restates the dismissed-by-default behavior and explains what 'dismissed' means, which adds marginal conceptual value but no syntax or format beyond the schema — baseline 3.

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?

States a specific resource (the AI-extracted actionables of a meeting recap) and immediately scopes it against the sibling space by clarifying these are not yet tasks, which separates it from get_tasks/confirm_meeting_actionable. An agent knows exactly what it retrieves without opening a schema.

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?

Implied usage is clear (review the AI-proposed actionables of a given recap), and it notes that dismissed items are hidden by default, which hints at the incluir_descartados use case. However it never names the natural alternatives (confirm_meeting_actionable, dismiss_meeting_actionable, get_tasks) or states when to prefer this over them.

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