Skip to main content
Glama

Read an article

read_article
Read-only

Free (30 pages an hour). Reads a web page into a short brief for the script coach. Text pages only on the web: a video link answers desktop_only.

Args: url: an https link to an article or post (max 2000 chars).

Returns: {ok, source:{url, title, brief:{about, facts[], audience, tone}, excerpt, chars, cached}}: pass source to script_coach or ai_short_draft. A video link: {ok:false, error_code:'desktop_only', download_url}.

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": "read_article"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

With readOnlyHint already declared, the description goes well beyond annotations: it discloses a 30-pages-per-hour rate limit, a documented failure mode with a specific error_code ('desktop_only') and download_url, a caching indicator in the response, and a 2000-char input cap. These are exactly the operational constraints an agent needs before calling a fetcher.

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?

Front-loads the core action and quota, then uses explicit Args/Returns blocks so an agent can parse it fast. Slightly dense prose and inline return-shape shorthand cost a point, but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotation coverage of failure paths, so the description correctly spends its budget on the return shape (brief fields, excerpt, chars, cached) and the error branch. For a single-parameter read tool this leaves no meaningful gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry the parameter, and it does: it specifies the url must be 'an https link to an article or post' and capped at 2000 chars, adding the https and content-type constraints beyond the bare string/uri schema.

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?

States a specific verb and resource ('Reads a web page into a short brief') and names the consumer ('for the script coach'), which tells an agent what comes out. It does not distinguish itself from the similarly-named sibling remix_read_source, so an agent cannot fully disambiguate from the description alone.

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?

Gives concrete usage context: free tier at 30 pages/hour, text pages only, and 'pass source to script_coach or ai_short_draft' names the downstream handoff explicitly. It also routes the video case away to desktop_only, but never states a when-not condition versus remix_read_source.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources