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Read a Tabler docs page

get_docs_page

Fetch any Tabler documentation page and get its readable text, headings, and code blocks for use in AI assistants.

Instructions

Fetch a docs.tabler.io page and return its readable text content (headings, text, code blocks). Requires network access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL or path, e.g. 'https://docs.tabler.io/ui/components/modals' or 'ui/components/modals'
Behavior3/5

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

With no annotations, the description must carry full behavioral transparency. It states the tool returns text content and requires network access, but omits details about error handling (e.g., 404, invalid URL), rate limits, authentication, or caching behavior.

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 (two sentences) and front-loaded: first sentence defines purpose and output, second adds requirement. Every word adds value without redundancy.

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?

For a simple fetch tool with one parameter and no output schema, the description is fairly complete: it specifies output format, network requirement, and URL type. However, it could mention behavior for invalid URLs or relative paths, though the example clarifies path format.

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 100% (one parameter with description). The tool description adds no additional parameter semantics beyond what the schema already provides ('Full URL or path'). Baseline score of 3 is appropriate.

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 uses a specific verb 'Fetch' and clearly identifies the resource (docs.tabler.io page) and output (readable text content: headings, text, code blocks). It distinguishes clearly from sibling tools, which focus on colors, icons, or components.

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 mentions a prerequisite ('Requires network access') but provides no guidance on when to use this tool versus alternatives, nor when not to use it. It does not reference sibling tools or give context for selection.

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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