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

With no annotations to carry the behavioral burden, the description discloses how results are drawn (curated alternative lists, falling back to same-category tools) and frames the tool as a recommendation lookup. It doesn't detail result shape or empty-result behavior, but no destructive or permission-sensitive behavior needs flagging.

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, zero filler: the first states the core behavior and source logic, the second states the exact user intent it serves. It is front-loaded and every clause earns its place.

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 low-complexity lookup tool with a fully described 2-parameter schema, the description covers purpose, source, fallback behavior, and usage context. The only minor omission is a statement of return value shape, but the simple result ('alternatives') is evident and no output schema is expected.

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?

The input schema already documents both parameters at 100% coverage, including slug/display name for tool and the 1-20 range/default for limit. The description only adds the conceptual role of the input without extra parameter details, matching the baseline for strong schema coverage.

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 identifies the resource and outcome: alternatives for a given AI tool, sourced from curated lists with same-category fallback. The 'replace or switch off' use case and the contrast with compare/get/list/search siblings make the tool's specific role unambiguous, even without an explicit verb.

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?

'Use when the user wants to replace or switch off a product' gives an explicit trigger condition. It doesn't enumerate when-not-to-use or name sibling alternatives, but the context is clear and sufficient for routing.

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