get_articles

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

With no annotations, the description provides some behavioral detail: concurrent requests and cache-bypass behavior via force_refresh. It does not mention error handling, partial failures, rate limits, or authentication requirements, so it only partially carries the transparency burden.

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 compact and front-loaded with the core behavior, followed by a clean single-purpose Args block. Every sentence and bullet contributes useful information without filler.

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?

The tool has only three parameters, and all are semantically explained; the output schema covers the return shape, so the description need not repeat it. Missing guidance on when to prefer get_article or search_articles is the main gap, but it does not cripple callability.

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%, but the description fully compensates by naming each parameter and giving its meaning: subdomain is the Help Center hostname, article_ids are the IDs to fetch, and force_refresh bypasses cache. This adds real value beyond the raw schema.

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 states a specific verb ('fetch'), resource ('articles'), and scope ('batch', 'multiple', 'full markdown bodies'). It clearly distinguishes this tool from the singular get_article sibling by emphasizing multiple articles at once.

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?

Usage is implied: fetch this batch of known article IDs by passing article_ids. The description does not explicitly name alternatives, but 'batch fetch multiple articles' signals it is for multi-ID retrieval rather than search or singular lookup.

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