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find_similar_components

Find components matching a natural language description by analyzing keywords, hooks, child components, data fetching patterns, and architecture layer. Returns up to 15 results.

Instructions

Find components similar to a natural language description using keyword AND structural matching. Scores based on name, hooks, child components, data fetching pattern, and architecture layer. Returns up to 15 results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesNatural language description (e.g., "button for submitting forms", "hook that fetches patient data")
Behavior3/5

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

While no annotations are provided, the description discloses the dual matching approach and scoring factors. It does not mention read-only behavior or side effects, which is acceptable for a search tool but could be more explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences front-load the purpose and key details. No redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the matching method, scoring criteria, and result limit, but lacks details on result format, ordering, and any access requirements. Given the number of sibling tools, more completeness would help.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'description' is well-documented in the schema with examples. The tool description adds context about scoring but does not enhance the parameter meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'find', the resource 'components', and the method using keyword and structural matching. It specifies scoring criteria and result limit, distinguishing it from siblings like 'search_components'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like 'search_components' or 'find_component_usages'. The description does not mention prerequisites or exclusions.

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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