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dhanavathsrikanth

screenshotapi-mcp

convert-to-markdown

Converts any webpage URL into clean Markdown text, extracting readable content for analysis, summarization, or data processing.

Instructions

Render a webpage and return its content as clean Markdown. Useful for extracting readable text from any URL for analysis, summarization, or data processing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the page to convert to Markdown
Install Server

TDQS

A3.6/5.0
Behavior2/5

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

With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It mentions 'render a webpage' but does not explain potential failures (JS-dependent pages, timeouts, rate limits) or whether output is synchronous. This leaves the agent without important operational expectations.

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?

Two purposeful sentences with no filler. The primary action and purpose are stated first, and the use cases follow. Every word contributes to the agent's understanding, achieving ideal succinctness.

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 simplicity (one parameter, no output schema, no nested objects), the description is largely complete. It communicates the goal and typical uses. However, because there are no annotations, a mention of expected behavior on dynamic content would make it fully robust. Still, it is adequate for straightforward invocation.

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 description coverage is 100% (the single 'url' parameter is documented as 'URL of the page to convert to Markdown'). The description adds no additional meaning beyond the schema, so it meets the baseline but does not exceed it. Since it is a single well-described parameter, this is acceptable.

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?

Clearly states the verb (render/convert) and resource (webpage to Markdown). The phrase 'clean Markdown' adds specificity. It is easily distinguishable from sibling tools that focus on screenshots or usage, and no ambiguity exists about what the tool accomplishes.

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?

Provides use-case context ('extracting readable text... for analysis, summarization, or data processing') but does not explicitly contrast with alternatives like render-screenshot or get-screenshot. It implies when to use but omits any when-not guidance. A clear exclusion would strengthen this dimension.

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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