Pyfile LLM & Data API

web_read

Fetch any public web page and return its main readable content as clean Markdown (nav/ads stripped) for RAG and agent pipelines.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "web_read"
  }
}

Input Schema

Name	Required	Description	Default
`url`	Yes	Public http(s) URL, e.g. https://example.com
`max_chars`	No	Max characters to return (default 20000).

Schema Changelog

Changes observed during successful MCP inspections.

AddedSep 11, 2026

TDQS

A3.6/5.0

Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the output shape (clean Markdown) and a real constraint ('public' pages only, implying no auth/paywalled content) plus that nav/ads are stripped. It does not cover JS-rendered pages, timeouts, redirects, or failure behavior for non-HTML content.

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, front-loaded sentence that packs verb, resource, output format, and intended use with no wasted words.

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 2-parameter tool with no output schema, the description adequately explains what is returned (clean Markdown). It is nearly complete, with only edge-case behavior (non-HTML pages, blocked or JS-heavy sites, redirects) left unaddressed.

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%, so both parameters are already documented in the schema and the baseline is 3. The description adds only the 'public' constraint on the url parameter and repeats no format or syntax details beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (Fetch), resource (public web page), and output transformation (main readable content as clean Markdown with nav/ads stripped). This is far more specific than a tautology. It doesn't explicitly differentiate from siblings like wikipedia_summary, but the siblings are largely non-overlapping so the risk of confusion is low.

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 phrase 'for RAG and agent pipelines' hints at the intended context, and 'any public web page' implicitly scopes eligible targets. However, there is no explicit when-to-use/when-not guidance and no named alternative (e.g. use wikipedia_summary for encyclopedia topics), so usage must be inferred.

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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