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aryan0078

storykit-mcp

by aryan0078

search_assets

Search the StoryKit design library to find design blocks by query and kind. Returns matching charts, animations, text styles, themes, components, SVGs, and interactive widgets with embed snippets and data schema.

Instructions

Search the StoryKit design library. Returns matching blocks (id, name, kind, blockType, embed snippet, dataSchema when the asset accepts rows). Kinds: CHART_VARIANT, ANIMATION, TEXT_STYLE, THEME, COMPONENT, SVG, INTERACTIVE. INTERACTIVE covers the animated/self-contained widgets: draggable knobs + gauges + faders, skeuomorphic controls, blueprint cutaways, maps, quizzes. Sort: newest (default), used, name. Paginate with page + size (max 50).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
pageNo
sizeNo
sortNo
queryNofree text, e.g. "column chart" or "stat row"
Behavior3/5

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

No annotations are provided, so the description carries the burden. It describes the returned data and parameters but does not disclose behavioral traits like read-only nature, performance implications, or authentication requirements.

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 concise, front-loaded with the core purpose, and well-structured logically: purpose, return fields, kinds (with extra detail for INTERACTIVE), sort, and pagination. Every sentence adds value.

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

Completeness4/5

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

Given the complexity and lack of output schema, the description covers all parameter details and return fields adequately. It could mention error handling or empty results, but overall it is complete for a search tool.

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

Parameters4/5

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

With only 20% schema description coverage, the description adds significant value by detailing enum values for kind and sort, explaining pagination parameters (page, size with max 50), and providing a query example, though it could specify default page value.

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 tool searches the StoryKit design library and specifies the returned fields, listing kinds, sort options, and pagination, effectively distinguishing it from sibling tools like get_asset and list_chart_families.

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

Usage Guidelines4/5

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

The description provides clear context on what the tool does, including supported kinds and sort order, but does not explicitly state when to use this tool versus alternatives or mention 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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