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

Annotations already declare readOnlyHint and idempotentHint, so the safe read-only nature is known. The description adds useful context beyond annotations: results are 'live', alternatives are 'same-category', and the target must be a well-known tool slug rather than a catalog listing slug. This gives a clearer behavioral picture.

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 filler. The first sentence states the core purpose and examples; the second gives usage trigger and a critical parameter clarification. Information is front-loaded and each sentence 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?

Given the tool's low complexity (one parameter, read-only, output schema provided), the description fully covers purpose, usage triggers, and parameter nuances. It does not need to explain return values because an output schema exists. Everything the agent needs to decide when and how to invoke is present.

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 fully describes the parameter with 100% coverage and an example. The description adds additional disambiguation by emphasizing that `target` is 'not a listing slug from this catalog', which helps prevent misuse. This goes beyond the schema's description.

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 lists live, same-category alternatives to well-known AI tools, with specific examples. It distinguishes itself from siblings like get_tool and search_tools by focusing on alternatives and clarifying the target is a well-known tool slug, not a catalog listing slug.

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 explicitly says 'Call this when a user asks what are the alternatives to X' which provides clear when-to-use guidance. However, it does not explicitly mention when not to use it or point to alternative tools for other scenarios, so it stops short of a full 5.

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