get_article_content

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

With no annotations, the description carries the full behavioral disclosure burden. It conveys a read-only fetch operation and mentions max_chars as a length limit, but does not describe error handling, truncation behavior, URL format constraints, or what happens for non-article pages. These are notable gaps though not fatal for a simple retrieval tool.

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

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

The description is succinct, with a clear first sentence for purpose, a usage line, and a compact Args block. No filler or redundant details; it is well-structured for quick agent parsing.

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

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

For a two-parameter tool with an output schema, the description is mostly adequate but leaves ambiguities: it doesn't clarify whether any web URL is acceptable or only briefing-sourced articles, and it omits failure behavior. Given no annotations, this missing context prevents a higher score.

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

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

Schema description coverage is 0%, so the description must compensate. It provides one-line explanations for both parameters: 'URL of the article to fetch' and 'Maximum characters of content to return (default 4000)'. These add modest meaning beyond the raw schema but largely restate the parameter names and default.

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

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

The description opens with 'Fetch the text content of a web article or blog post', a specific verb-resource pair that clearly identifies the tool's function. It distinguishes itself from sibling news/search tools by implying URL-driven content retrieval rather than feed listing or searching.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states 'Use this when the user wants to read or learn more about a specific article, blog post, or news story from the briefing', which is a clear contextual trigger. It does not explicitly name alternatives or provide when-not conditions, but the context is sufficient for an agent to select this tool for content retrieval tasks.

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