get_random_article

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

No annotations are provided, so the description must carry the burden. It states the action is 'get', implying a read-only operation, and mentions the source (Memory Alpha). However, it does not describe the return format, whether duplicates can occur, or any other behavioral details. The description adds minimal value beyond the name, but the operation is inherently non-destructive and straightforward.

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 a single sentence that immediately states the core purpose and a use case. It is concise, front-loaded, and contains no filler or redundancy. Every word contributes to understanding.

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 simple tool with one optional parameter and no output schema, the description covers the essential purpose and a typical use case. It could be improved by mentioning what is returned (e.g., article titles, URLs, or full content), but this is a minor gap given the tool's simplicity and the clear context provided by the sibling tools.

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?

The schema description covers 100% of parameters (count has a full description: 'Number of random articles (1-5)'). The tool description does not mention the count parameter at all, so it adds no semantic value beyond the schema. The baseline of 3 applies because the schema already provides complete parameter documentation.

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 the tool's function: 'Get random Star Trek articles from Memory Alpha'. It uses a specific verb ('get'), a clear resource ('random Star Trek articles'), and a source ('Memory Alpha'). This distinguishes it from sibling tools like get_article or search_memory_alpha, which target specific articles or searches.

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 phrase 'great for discovery and trivia' provides a clear use context. It implies this tool is for exploratory or casual use rather than targeted lookup, though it does not explicitly state when not to use it or draw contrasts with siblings. This is sufficient for a simple tool but lacks explicit exclusions.

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