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

No annotations are provided, so the description carries the full burden. It mentions the limit of 5 and output fields but does not disclose whether the tool is read-only, requires authentication, or has side effects. The behavioral disclosure is minimal.

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 sentences, no wasted words. The first sentence delivers the core action and scope, and the second details output structure. Efficiently front-loaded.

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 tool with one array parameter and no output schema, the description covers purpose, scope (up to 5), and output structure. It lacks mention of error handling or default behavior, but is otherwise complete.

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 has 0% description coverage, so the description must compensate. It adds that 'slugs' refers to product slugs and that up to 5 are accepted. However, it does not specify format, length, or validation rules, leaving some 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 verb 'comparison' and the resource 'GYIBB products by slug', and distinguishes from sibling tools like get_product_review (single product) and search_products (search). It also details output structure: rating, confidence, pros/cons, source platforms.

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?

Description implies usage for comparing multiple products and sets a limit of 5, but does not explicitly state when to use this tool over alternatives or provide when-not scenarios. The sibling tool names offer context, but the description itself lacks direct guidance.

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