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

The description is consistent with the readOnlyHint annotation and accurately conveys a non-mutating read operation. However, it discloses no additional behavioral context—no mention of pagination, ordering, emptiness behavior, or response shape—but the safety profile is already covered by the annotation.

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?

The description is a single, direct sentence with no redundant words or filler. Every element communicates something meaningful about the tool's purpose.

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 simple list operation with one required parameter and a read-only annotation, the description provides sufficient context. It could additionally mention return format or edge-case behavior, but the absence is minor given the tool's simplicity.

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%, with section_id already documented as 'Id of the preference section'. The tool description adds no further parameter context, so the schema carries the explanatory burden and meets the baseline expectation.

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 uses a specific verb ('List') and identifies the exact resource ('topics in a preference section'), clearly distinguishing it from singular get_preference_topic and from list_preference_sections. There is no ambiguity about what operation is being performed.

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 description states what the tool does but provides no guidance on when to choose it over alternatives such as get_preference_topic or list_preference_sections. No exclusions, prerequisites, or selection criteria are mentioned, leaving the agent to infer usage from the name and schema.

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