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

No annotations are provided, so the description carries the full burden. It discloses that the tool extracts clean article text, which is a useful behavioral detail, but it does not mention potential failure modes (e.g., invalid URLs, non-article content, rate limits) or clarify that it is read-only. The description adds some context beyond what a simple 'summarize URL' would, but significant gaps remain.

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 fully captures the core functionality with no redundant words. It is front-loaded with the verb 'Fetch' and conveys the entire pipeline efficiently.

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 the tool's simplicity and the presence of an output schema (which eliminates the need to describe return values), the description is mostly complete. It covers the main workflow and input semantics adequately. The lack of explicit usage guidelines and failure-specific details prevents a perfect score, but for a straightforward summarization tool it is reasonably complete.

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 has no parameter descriptions (0% coverage), so the description must compensate. It does so by mentioning 'URL' and 'N-bullet,' which directly explains the 'url' and 'n_bullets' parameters. The term 'N-bullet' clarifies that n_bullets controls the number of bullets in the summary, adding meaning beyond the raw schema. However, it does not explain constraints or default behavior beyond the schema's 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 clearly states the tool's action: 'Fetch a URL, extract clean article text, and return an N-bullet summary.' It uses specific verbs (Fetch, extract, return) and names the resource (URL, article text, summary). It distinguishes itself from siblings like daily_digest, find_competitors, and repurpose_content by focusing on URL summarization.

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 implies usage context—when you want a summary of a URL's content—but does not explicitly state when to use it versus alternatives, nor does it mention when not to use it (e.g., non-article pages). It lacks exclusions or comparisons to sibling tools, so guidance is only implied.

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