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Retrieve documentation for Evidence components and concepts by specifying a category and optional component name.

Instructions

Retrieves Evidence documentation using hierarchical lookup.

Categories:

  • charts: LineChart, BarChart, AreaChart, Heatmap, SankeyDiagram, etc.

  • data: Value, BigValue, DataTable, Delta

  • inputs: Dropdown, Slider, DateInput, ButtonGroup, etc.

  • ui: Grid, Tabs, Modal, Alert, Accordion, etc.

  • maps: USMap, AreaMap, PointMap, BubbleMap, BaseMap

  • custom: CustomComponent, ComponentQueries

  • core-concepts: queries, syntax, loops, formatting, filters, etc.

  • data-sources: postgres, mysql, snowflake, bigquery, duckdb, etc.

  • deployment: vercel, netlify, cloudflare-pages, etc.

  • guides: best-practices, troubleshooting, chart-cheat-sheet

  • reference: cli, markdown, layouts

  • plugins: source-plugins, component-plugins

  • getting-started: install-evidence, build-your-first-app

Returns: Dictionary with 'title', 'content', and 'related_docs' for further exploration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_typeYes
componentNo
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, rate limits, or authentication needs. It only states what is returned, lacking full transparency.

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

Conciseness3/5

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

The description is moderately concise but includes a lengthy list of categories that could be summarized. It is structured with a clear purpose statement and a list, but the list is verbose.

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 return format and doc_type options well but lacks details on the 'component' parameter. Given no output schema and no annotations, it is adequate but not fully complete.

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?

Schema coverage is 0%, so the description partially compensates by listing categories for the 'doc_type' parameter with examples. However, the 'component' parameter is not described at all, leaving its semantics ambiguous.

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 it retrieves Evidence documentation via hierarchical lookup. It lists categories and subcategories, and specifies the return structure with 'title', 'content', and 'related_docs'. The purpose is specific and distinct from siblings like debug_code or edit_page.

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

Usage Guidelines3/5

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

The description implies usage for looking up documentation but does not explicitly say when to use this tool vs alternatives or provide usage exclusions. Siblings are sufficiently different, so guidance is minimal but adequate.

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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