barrons_article

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

With no annotations provided, the description carries the full burden and does so exceptionally. It discloses the data source (public web-archive snapshot), the failure condition (404 if no full-text snapshot), and the reason (Barron's only serves first paragraphs at origin). This fully sets expectations about availability and error behavior.

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?

Three sentences with no waste: first states the core action, second lists return fields and source, third explains the limitation and error case. Information is front-loaded and every sentence earns its place.

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 single-parameter tool with no output schema, the description fully covers what is returned, how it is sourced, and when it fails. No critical information is missing for an agent to decide to call it and interpret results.

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 coverage is 100% (the only parameter, url, has a description). The tool description adds no additional meaning to the url parameter beyond repeating that it's a Barron's article URL. The schema description is sufficient, so the baseline of 3 applies.

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 clearly states it 'gets a Barron's article's content' and enumerates the specific fields returned (title, byline, section, publication time, word count, body paragraphs). This distinguishes it from sibling tools like barrons_headlines or barrons_news, which clearly serve lists or summaries, not full article content.

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 implicitly tells when to use this tool: to obtain full article content when you have a specific article URL. It also explains a key constraint (archive snapshot availability) that affects usage. However, it does not explicitly name alternatives or state when NOT to use it (e.g., when only headlines are needed), leaving some inference for the agent.

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