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web_read

Read-only

Paid $0.05 per call: read one public web page and get it back as clean text — title plus paragraph blocks, markup/script/style/iframe removed, capped at 12,000 characters and honest about it in truncated. The Indonesian entity dictionary and sentiment lexicon behind indonesia_sentiment then run over that text and come back with their matched terms (no LLM; sentiment is null with a reason when the page declares a non-Indonesian lang rather than a invented score). Safe by construction: only public http/https targets — any host whose DNS answer includes a loopback, private, CGNAT, link-local, cloud-metadata or reserved address is refused, connections go to that validated IP, redirects are never followed, the body is cut at 1.5 MB and only text/html, text/plain, text/markdown, application/json and application/xml are parsed.

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

NameRequiredDescriptionDefault
urlYesAbsolute public http(s) URL. No credentials in the URL, no ports other than 80/443, no private or metadata targets — all refused before payment.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only supply readOnlyHint=true, and the description adds substantial context beyond that: per-call pricing, a 12,000-character cap surfaced honestly via a `truncated` flag, a 1.5 MB body cut, no redirect following, a whitelist of parsed content types, and an explicit null-sentiment-with-reason behavior instead of a fabricated score. The safeguards (DNS validation, refusal of loopback/private/CGNAT/link-local/metadata/reserved addresses, connection pinning to the validated IP) are unusually concrete, though the response's exact field names apart from `truncated` are only sketched.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is front-loaded with price and function, then moves to output shape and safety, so the reader gets the essentials first. The single dense paragraph with stacked em-dash clauses and the slightly promotional 'Safe by construction' opener cost it a bit of readability.

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?

With no output schema, the description carries the full burden and does explain the return value (title, paragraph blocks, matched terms, nullable sentiment with reason, truncation flag). What is missing is any mention of failure modes beyond refusals, such as what the caller sees when the page is non-HTML or the fetch itself errors.

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% and the single `url` parameter is fully described, so the schema carries the load and the baseline is 3. The description's added meaning for the parameter (redirects are never followed, so the caller must supply the final URL) is real, but most of the safety constraints it restates are already present in the schema text.

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?

States a specific verb and resource ('read one public web page and get it back as clean text') plus the exact output shape (title plus paragraph blocks). It also names the downstream consumer, indonesia_sentiment, whose dictionaries run over the text, so an agent can place it relative to the rest of the catalog.

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 cost line ('Paid $0.05 per call') and the description of what gets returned imply when to reach for it, and no sibling in the list performs web fetches. However, there is no explicit 'use this when' statement, no exclusions, and no guidance on when to prefer a cheaper preview-style sibling such as indonesia_headlines_preview.

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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