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

With no annotations provided, the description carries the behavioral disclosure burden and does well: it reveals link resolution to absolute URLs, the 300-link cap, the per-link output fields, and the $0.008 USDC cost via x402 on Base. It does not detail failure modes or redirect handling, but it is far more transparent than most tool descriptions.

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 filler: the first defines the output, the second gives usage contexts, the third states limits and cost. All information is relevant and front-loaded.

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 link extractor with no output schema and no annotations, the description covers the key runtime facts: output fields, normalization behavior, cap, and cost. It lacks explicit edge-case behavior (e.g., pages with no links or invalid URLs), but the provided context is sufficient for an agent to invoke it correctly.

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 already fully documents the single 'url' parameter with type, required flag, example, and description. The tool description merely refers to 'a page' and does not add meaningful parameter semantics beyond what the schema provides, 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 states a specific operation: extracting every hyperlink from a page, resolving them to absolute URLs, and returning anchor text and same-host status. It also groups concrete use cases (crawl an index, find the real article behind a landing page, enumerate documentation TOC), making the tool's function unambiguous and distinct from typical read/request operations.

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?

Explicit use cases are given: crawling an index, finding the real article behind a landing page, and enumerating a documentation table of contents. However, it does not explicitly mention when not to use it or name alternative sibling tools, so it stops short of full exclusion guidance.

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