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

Beyond the readOnlyHint and idempotentHint annotations, the description adds the 'live' qualifier and clarifies that the input is a well-known tool slug rather than a catalog slug, preventing a common misuse. No contradictory behavior is stated, and the added context is relevant to how the tool behaves.

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 concise sentences front-load the core action ('List live, same-category alternatives') and then provide usage and parameter guidance without any fluff. Every word earns its place, making it easy for the agent to parse quickly.

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?

With a one-parameter schema, full schema description coverage, a documented output schema, and three annotations, the description is sufficiently complete. The explicit usage trigger and parameter disambiguation cover everything needed for correct invocation.

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 schema already documents 'target' with full coverage, but the description adds crucial disambiguation: the slug must be a well-known tool's slug, not a listing slug from this catalog. This nuance is not expressed in the schema and adds real semantic value.

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 the verb 'list' with the resource 'alternatives to a well-known AI tool' and clearly distinguishes itself from catalog-listing tools by noting the target is not a listing slug. This makes the tool's purpose unmistakable and differentiates it from siblings like get_tool or search_tools.

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?

It includes an explicit trigger phrase: 'Call this when a user asks...' and clarifies that it covers competitors/substitutes, giving the AI agent clear conditions for selecting this tool. This goes beyond generic context and provides actionable usage guidance.

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