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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile needs no restating. The description adds useful behavioral context about the returned payload (provenance, replacement history, open question, unread words, sent status, offers), which is more than the annotations give, but it omits anything on token sensitivity beyond the schema, failure behavior, or whether the requirement can change between calls.

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?

A single dense sentence, front-loaded with the resource and then a compact enumeration of the returned facets. It is efficient, though the phrase 'A Goodstanding requirement as it stands' is slightly awkward and hedges on naming the action, and 'words not yet read' is cryptic without elaboration.

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 and no annotations on data shape, the description must convey what comes back, and it does list the facets at a high level. However, it is a read tool in a large family of requirement-lifecycle siblings, and the description lacks retrieval prerequisites, error cases, and any differentiation from the other read-oriented tools, leaving meaningful gaps.

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 would be 3, but the description goes slightly beyond by framing the requirement as having a provenance trail and a sent/receipt lifecycle, which contextualizes why the 'token' is the receipt token of the sending request. That ties the parameters to the tool's semantics rather than just restating formats.

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 verb is 'read' (via the title) and the resource is a 'Goodstanding requirement', with the description enumerating what a returned requirement contains: provenance, prior value, open question, unread words, sent state, and any offer. This clearly separates it from siblings like edit_requirement, send_requirement, and inspect_offer, though the description itself never states the verb 'retrieve/read' explicitly, leaving that to the title.

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 only implied: the description says it reads a requirement 'as it stands', and the schema note says the id comes 'from an earlier answer', which hints at a follow-up-read workflow. There is no explicit statement of when to choose this over sibling reads like describe_proposition, interpret_requirement, or inspect_delivery, and no exclusions or prerequisites are named.

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