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

Annotations already declare readOnly/idempotent/non-destructive and a closed-world scope, so the safety profile is covered. The description adds genuinely new behavioral context: the response is a composite view pairing each value with its provenance, what it replaced, the open question, unread words, sent status, and any offer. That is meaningful disclosure for a tool with no output schema, though the jargon ('words not yet read') is not decoded.

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?

It is a single tight sentence with no filler, which is good, but the colon-chained list of elliptical fragments ('what it replaced, the open question, words not yet read') is dense and front-loads a noun phrase instead of an action. Compact but harder to parse than it needs to be.

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 should carry the return-value burden, and it does partially by enumerating the snapshot's fields. However, for a token-authenticated read feeding a workflow of offer/remedy/payment siblings, it omits error behavior, whether the token must match the request context, and what happens if no offer exists.

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%, with both id and token documented including origin ('from an earlier answer') and privacy expectations. The description adds nothing about parameters beyond the vague 'as it stands' snapshot framing, 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?

The description names the resource (a Quarterline requirement) and enumerates what the returned snapshot contains, so an agent can tell this is the read/view counterpart to edit_requirement or state_purchasing_requirements. It is phrased as a noun phrase rather than a verb+resource statement, and the title carries the actual 'read' verb, but the intent is unambiguous.

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?

There is no statement of when to call this versus siblings such as state_purchasing_requirements, inspect_offer, or inspect_delivery, and no prerequisites or exclusions. The only implicit cue is 'as it stands', which hints at a current-state read but never says so.

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