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doc-convert-mcp

Url To Clean Text

url_to_clean_text

Fetch a public http(s) URL and return its main text content as plain text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe http(s) URL to fetch. Private/loopback hosts are rejected.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the burden of explaining the operation. It discloses that this is a read-only network fetch, restricts to public URLs, and specifies the return is plain text. It does not cover failure modes or content-extraction heuristics, but this is a simple tool and the core behavior is clearly stated.

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?

A single concise sentence containing all essential information: fetch action, URL input, and plain-text output. No filler or 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 one-parameter, read-only tool with an output schema available, the description covers the essential usage. Minor omissions (e.g., behavior on non-HTML responses, handling of redirects) are acceptable given the tool's simplicity and the presence of an output schema.

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 'url' parameter already documents the http(s) requirement and the rejection of private/loopback hosts. The tool description only echoes 'public', adding no new parameter semantics beyond the schema. Baseline 3 applies.

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 states a specific verb ('Fetch'), a resource ('URL'), and the output ('main text content as plain text'). It is immediately distinguishable from sibling tools (ocr_image, parse_spreadsheet, pdf_to_markdown) which target images, spreadsheets, and PDFs respectively.

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 clearly indicates the tool is for http(s) URLs, implying it is the right choice when input is a web page rather than a file. However, it does not explicitly mention alternatives or when-not-to-use conditions, so it stops short of full routing guidance.

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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