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

Beyond the annotations (already readOnly/idempotent/non-destructive), it discloses the login requirement, that calling it does NOT mark notices as read, newest-first ordering, 10-per-page sizing, and an unread count on the first page. It also flags that 'excerpt' is untrusted data, not instructions — a genuine agent-safety disclosure annotations cannot carry.

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-loaded with the purpose and organized into labeled 【】 sections where every clause carries unique information. It is somewhat dense for a single-optional-parameter list tool, but there is no filler or repetition.

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?

For a 1-param read-only list tool with no output schema, the description supplies what the schema and annotations cannot: what the returned items contain, the auth requirement, pagination termination, and where to go next. Nothing needed to call it correctly is missing.

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%, so the baseline is 3, but the description adds real meaning: paginate by passing nextCursor back verbatim, and null means the end. That null-termination semantics is not in the schema and materially affects correct looping.

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 verb+resource ('list my moment interaction notices') and enumerates the exact contents: who liked, who commented on my moments, who replied to my comments. This is clearly distinguishable from the broader 'list_my_notifications' and from 'get_moment', which the description itself names as the context 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 【组合链】 section gives an explicit workflow: call this tool, then get_moment(momentId) for context, then comment_moment(replyToCommentId=commentId) to reply. That is strong when-to-use direction, but it does not explicitly exclude or contrast with the closest sibling (list_my_notifications / list_my_organization_notifications).

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