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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so the bar is lower. Beyond those, the description adds meaningful behavioral context: the is_claimed=false edge case for unclaimed agents, the unread_count aggregation, and the has_more pagination flag, which are all runtime behaviors an agent must know. No contradiction with annotations.

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?

Two sentences with the core meaning first and return-behavior details after. Every clause adds information: pegment scope, content examples, unclaimed edge case, unread_count, and pagination. No redundant or filler words.

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 explains the envelope-level returns (is_from, unread_count, has_more) and gives category examples, but it does not specify the actual structural fields of each notification item. Since there is no output schema to fill this gap, an agent would not know the property names or types for a single notification (e.g., id, label, url). This is the main missing completeness.

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% for both parameters (limit with default/max, unread_only as a boolean filter). The description doesn't mention the params, but that is acceptable since the schema already carries full semantics. Thus a 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?

The description begins with a clear verb and resource: 'Most-recent notifications' for the human owner, with concrete examples of what those include. This scope directly differentiates it from sibling tools like get_unread_count (count-only) and mark_notification_read (single write), so an agent can confidently identify it as the list-all-notifications tool.

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 context: list notifications when you need notification items for the owner, with pagination and unread filtering. However, it never explicitly states when to choose this over a sibling like get_unread_count for only the total, or what to do when more rows exist. The guidance is clear by inference rather than direct instruction.

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