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convert_url_to_markdown

Convert any web page URL to clean Markdown, enabling AI assistants to read and analyze the content.

Instructions

Fetch a URL and convert its web page content to clean Markdown

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to fetch and convert
inline_titleNoPrepend page title as H1 heading
ignore_linksNoStrip hyperlinks from output
readabilityNoUse Readability for cleaner output
Behavior3/5

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

With no annotations, the description must fully disclose behavior. It mentions 'fetch' implying network access, but omits details like rate limits, timeouts, caching, or error handling. The parameter 'readability' is not explained in context, though documented in the schema. The description is minimal but not misleading.

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 a single, well-formed sentence that communicates the core functionality without superfluous words. It is front-loaded with the action and resource, making it easy to parse quickly.

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 absence of an output schema, the description should clarify the return format. 'Clean Markdown' implies a string, but it's ambiguous. The tool is simple with 4 parameters and no nested objects, so the description covers the main action. Lacking error or edge case info prevents a perfect score.

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, so the schema already provides parameter meanings. The tool description adds no additional detail beyond the schema, resulting in a baseline score of 3. No extra semantics are offered.

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 action ('fetch and convert') and the resource ('URL web page content') and result ('clean Markdown'). It effectively distinguishes from the sibling 'convert_html_to_markdown' by specifying URL fetching as the input method.

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 lacks explicit guidance on when to use this tool versus the sibling 'convert_html_to_markdown'. No context is provided on prerequisites, preferred scenarios, or exclusion criteria, leaving the agent to infer usage from the tool name alone.

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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