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

readOnlyHint=true already tells the agent this is a safe read, so the description's burden is lower. It adds the underlying REST path (GET /needs/{id}/questions), which is mildly useful corroboration, but says nothing about pagination, ordering, or what happens when a need has no questions.

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 short sentences, purpose front-loaded, zero filler. The endpoint mention is compact and adds context cheaply.

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 single-parameter read tool with full schema coverage and annotations covering safety, the description is nearly sufficient. A brief note on what a returned question contains or whether the list is paginated would close the remaining gap, since no output schema 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?

Only one parameter and schema description coverage is 100%, so the schema already defines need_id with a numeric pattern. The description reinforces the scope ('for one need') but adds no format or constraint detail beyond the schema, making 3 the baseline.

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 ('List') and resource ('custom questions that volunteers answer') scoped to one need, which is clear and non-tautological. It does not explicitly distinguish itself from the nearby galaxydigital_list_registration_questions sibling, so sibling differentiation is only inferable from the 'for one need' scope.

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 scope ('for one need') implies when this tool applies, but there is no explicit when-to-use, prerequisites, or named alternative such as list_registration_questions for event-scoped questions. Usage is left to inference from the need_id parameter.

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