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search-components

Find Salt Design System components by searching names and directories. Use this tool to locate React UI elements for building applications with JP Morgan Chase's design system.

Instructions

Search Salt components by keyword. Searches component names and directory names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch keyword (e.g. 'input', 'layout', 'nav', 'date')
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the search scope (names and directories) but doesn't cover critical aspects like whether this is a read-only operation, if it requires authentication, rate limits, pagination, or what the output format looks like. The description is minimal and lacks behavioral context.

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?

The description is extremely concise with two sentences that directly state the tool's purpose and scope. There is no wasted language, and it is front-loaded with the core functionality. Every sentence earns its place by adding specific value.

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

Completeness2/5

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

Given the complexity of a search tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the search returns (e.g., list of components, metadata), how results are structured, or any behavioral traits. For a tool with one parameter but significant implicit behavior, this is inadequate.

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 input schema has 100% description coverage, with the 'query' parameter well-documented in the schema itself. The description adds no additional parameter semantics beyond what the schema provides, such as search syntax or examples beyond the schema's examples. Baseline 3 is appropriate as the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the action ('Search') and target resource ('Salt components by keyword'), specifying it searches both component names and directory names. However, it doesn't explicitly differentiate from sibling tools like 'list-components' or 'get-salt-docs' beyond the search functionality.

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?

The description provides no guidance on when to use this tool versus alternatives like 'list-components' (which might list all components without searching) or 'get-salt-docs' (which might retrieve documentation). There's no mention of prerequisites, exclusions, or specific contexts for usage.

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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