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

Annotations (readOnlyHint, idempotentHint, destructiveHint) already indicate read-only, idempotent behavior. The description adds that the tool is for 'public' data and returns 'public question answer structure', providing some context beyond annotations.

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 two sentences with no wasted words. It front-loads the purpose and efficiently lists inputs and output.

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?

The description mentions the output ('public question answer structure and requested linked public context'), and there is an output schema. For a straightforward fetch tool, this is nearly complete; however, the term 'bundle' could be clarified.

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 0%, so the description must compensate. It explains that 'slug_or_id' accepts a slug or ULID, adding meaning. However, the three boolean parameters are only listed as 'Optional booleans' without explaining their effect, leaving gaps.

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 clearly states the tool fetches a 'public SkinKnowledgeBase Question bundle', using a specific verb and resource. It distinguishes itself from siblings like get_sources_for_question or get_ranked_products_for_question by focusing on the bundle concept.

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 lists required and optional inputs but does not explicitly state when to use this tool over siblings. Usage context is implied (fetching a bundle), but no alternatives or when-not-to-use guidance is provided.

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