Given a specific AI tool, return similar tools (same category, excluding the original). Use for 'what's like X?' or 'cheaper alternative to Y' questions.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| linkName | Yes | The linkName of the application to find alternatives for. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses the tool returns same-category alternatives excluding the original, which is the core behavior. The description implies read-only operation, which is accurate for a lookup tool. It does not mention any side effects or prerequisites, but given the simple read-only nature, the provided behavioral disclosure is strong.
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 concise sentences, front-loaded with the core purpose, followed by usage examples. Every sentence earns its place with no wasted words, achieving excellent conciseness and structure.
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?
The tool is simple (2 params, no output schema, no annotations), and the description covers the core purpose and usage. However, it omits the limit parameter from the textual description, which is a key aspect of controlling the output. The lack of any return format detail is acceptable given the simple nature, but the limit gap makes it not fully 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 coverage is 50%: only linkName is described, while limit has no description. The description does not compensate for the missing limit explanation—it never mentions how many alternatives are returned or that limit controls the count. Thus it adds no value for the limit parameter, which is a significant gap.
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's function: given a specific AI tool, return similar tools in the same category, excluding the original. This distinguishes it from siblings like search_tools (general search), get_tool (retrieve one), compare_tools (compare), and list_categories (list categories), showing a specific verb+resource scope.
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 to use it for 'what's like X?' or 'cheaper alternative to Y' questions, providing clear when-to-use guidance. However, it does not mention when not to use or name alternatives, so it falls short of the full exclusions, but the clear context earns a 4.
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 clearly distinct purpose: browsing a category, comparing two tools, finding alternatives, fetching tool details, getting top picks, listing categories, and searching. There is no ambiguity or overlap.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., browse_category, compare_tools, get_tool). The naming is predictable and uniform across the set.
With 7 tools, the set is well-scoped for an AI tool directory. Each tool serves a specific and necessary function, and there is no unnecessary bloat or deficiency.
The tool surface covers all core use cases for a directory: browsing by category, searching, getting details, comparing, and finding alternatives. Minor gaps like missing 'top trending' or user-specific features are acceptable and do not hinder typical workflows.
