URL / text summarizer

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

No annotations provided, so description carries full burden. Discloses that it uses an LLM, fetches URL if provided, and outputs a 3-5 sentence summary. Lacks details on limits (e.g., text length, rate limits) but covers core behavior well.

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?

Two sentences with zero wasted words. First sentence defines purpose and output; second gives critical usage instruction. Perfectly concise.

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?

Given only two parameters and no output schema, the description is largely complete. It explains what it does, how to use it, and what output to expect. Could mention error cases or size limits, but not essential for this simple tool.

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 already provides descriptions for both parameters. Description adds value by clarifying mutual exclusivity ('EXACTLY ONE') and that URL is fetched, which tells the agent how parameters interact.

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?

Clearly states the tool summarizes a URL or text via LLM, specifying output length (tight 3-5 sentences). Distinguishes from sibling tools which are in different domains (crypto, fact-checking, etc.), so purpose is unique.

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?

Explicitly instructs to provide exactly one of 'url' or 'text'. Provides context: 'For agents/pipelines that need a fast, information-dense digest without running their own LLM call or web fetch.' Does not explicitly mention when not to use, but context implies alternatives.

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