compare_toolsCompare two AI tools side by side by their directory slugs. Returns each tool’s profile (pricing, rating, editorial verdict, lifecycle) plus the editor’s head-to-head verdict and bottom line when one exists for the pair.
| Name | Required | Description | Default |
|---|---|---|---|
| slugA | Yes | Directory slug of the first tool. | |
| slugB | Yes | Directory slug of the second tool. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate safe, idempotent behavior. The description adds that it returns pricing, rating, editorial verdict, lifecycle, and head-to-head verdict, providing useful 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?
Two concise sentences, front-loaded with action and scope, no redundant words.
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 no output schema, the description adequately explains return values (profile fields and verdict). Missing error handling for missing slugs, but overall sufficient given tool simplicity.
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 100% with descriptive parameter names, so the description adds limited value beyond repeating 'directory slug'. Baseline 3 is appropriate.
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 compares two AI tools by directory slugs and returns profiles plus editor verdict, which distinguishes it from siblings like list_tools 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 specifies the input as directory slugs and mentions when a head-to-head verdict exists, but could be more explicit about when to use this vs find_alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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Each tool has a distinct purpose: checking lifecycle status, comparing two tools, finding alternatives, getting full details, listing by category, and searching. No overlap.
All tool names use a consistent verb_noun pattern in snake_case (e.g., check_tool_status, search_tools). Minor singular/plural variation is acceptable.
With 6 tools covering search, browse, detail, comparison, and lifecycle checks, the count is well-scoped for an AI tool directory service.
The tool set covers the main user needs: discovery (search, list), details (get_tool), verification (check_tool_status), comparison (compare_tools), and alternatives (find_alternatives). No obvious gaps.