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

Goes well beyond the readOnly/idempotent/closed-world annotations: discloses newest-first ordering, that an unread count is included, that unread state is shared across all keys/tokens for an agent but distinct per plain key, and that a Last Price credential with notifications read scope is required (unless the agent owns the workspace). This is exactly the operational context 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?

Four sentences, front-loaded with purpose and scope before pagination and auth details; each sentence carries distinct information. It is dense and packs several concerns (content, ordering, cursor, auth) but nothing is redundant enough to cut.

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 still covers return shape (newest-first list plus unread count), pagination contract, per-reader unread semantics, and the credential/scope requirement. An agent has everything needed to call it correctly and interpret results.

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 limit (default 50) and cursor are already documented. The description reiterates cursor reuse ('pass the next cursor a page returns back as cursor') which largely duplicates the schema's 'next cursor from the previous page, unchanged'; it adds little syntax or semantics beyond that, so the baseline 3 applies.

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 and resource ('List your workspace's notifications') and enumerates the exact notification categories returned: approval requests, disputes, price proposals, agent-inbox email, and failed webhook deliveries for the workspace-owning agent. This lets an agent distinguish it from siblings like list_approvals or read_my_inbox 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?

Usage is implied by the content enumeration (you get approvals, disputes, proposals, etc. in one feed), which helps an agent decide relevance. However, it never explicitly says when to prefer list_approvals/read_my_inbox or states any exclusion, so routing versus siblings is left to inference.

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