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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuinely useful behavior beyond that: each item carries the exact arguments of the pending action (the email that would be sent), which is the key property an agent needs to reason about these records. It does not cover ordering, pagination, or what happens when nothing is pending.

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, front-loaded with the scope of the result set and followed by the highest-value detail (exact arguments shown). The closing imperative 'Show the person exactly what each one does before they decide' is partly guidance rather than description, but it earns its place by explaining why the payload detail matters.

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 carries the burden of describing returns, and it does so partially by naming the two item categories and the embedded action arguments. Missing are result ordering, what an empty response means, and any hint about the item shape beyond the arguments. Good but not exhaustive for a read tool with no output schema.

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 the single limit parameter is fully documented with default and bounds, so the schema does the work. The description adds no meaning about the limit or about result ordering/count. 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 names the resource concretely: everything in the workspace waiting for a person, split into two kinds — app actions a workflow or agent wants to take, and Human in the Loop questions. That is far more specific than a restated title and tells an agent exactly what set of objects it gets. It stops short of naming the sibling it complements (decide_approval), so it is clear but not sibling-differentiating.

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 'Show the person exactly what each one does before they decide', which frames this as the read step preceding a decision. There is no explicit statement of when to call this versus decide_approval, and no prerequisites or exclusions. An agent can infer the flow, but the definition does not route it.

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