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

Annotations already declare a safe read (readOnlyHint true, destructiveHint false, closed-world), so the safety profile is covered. The description adds real behavioral context beyond that: the full set of publication states, that stale facts are re-checked monthly against their source, and the three failure modes (newer figure, figure gone, source offline). It omits pagination/total-count behavior, which matters for a list-returning tool with limit/offset.

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 most important content (calendar + publication state) is front-loaded, and the two actionable answers are tied to their follow-up tools rather than buried. The final sentence about stale_facts is a long multi-clause run-on with nested parentheses that could be split for readability.

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?

There is no output schema, so the description must carry the return shape — and it largely does, naming the per-article state, Autopilot state, the next_to_write/next_to_publish fields with their ids, and the stale_facts fields including source and last-verified date. What's missing is any statement about volume/pagination semantics or whether the calendar is bounded by the limit parameter.

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% and every parameter (brand, limit, offset) is documented in the schema itself, so the description carries no burden here. The description adds nothing about the parameters — no note on when brand can be omitted beyond what the schema already says, no guidance on pagination strategy. Baseline 3 is appropriate.

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 artifact (the brand's content calendar) plus exactly what it contains: publication state per article with an enumerated state set, Autopilot state, the two next-action answers, and stale_facts. This is clearly distinguishable from list_articles (raw listing) and from get_analytics/get_visibility (metrics), so an agent can pick it without opening the 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?

Explicitly routes the agent onward: next_to_write items go to draft_article with the returned article_id, next_to_publish items go to publish_article. That is concrete when-and-how guidance. The gap is that it never distinguishes itself from the sibling tools that also answer 'what next?' (get_next_action, get_action_plan), leaving ambiguity when both could serve.

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