x402node_url_extract-meta

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions 'Price: unknown on Base (auto-paid in USDC)' which indicates a cost mechanism, but it does not describe rate limits, auth requirements, or potential side effects. The description also does not clarify that this is a read-only operation or what happens if the page is not parseable. Given no annotations, the description is insufficient for behavioral transparency.

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 front-loaded with the purpose and uses many synonyms to convey capability quickly. It includes a relevant cost note. While somewhat verbose with repetitive synonyms, it is still concise for the amount of information. It could be slightly more streamlined, but it remains efficient.

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 1 parameter and no output schema. The description does not specify the structure of the returned data (e.g., JSON format, field names, nesting). For a tool that extracts structured meta, this is a notable gap. The description implies what it extracts but not how it is returned, making it incomplete for an agent to fully understand the output without additional context.

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 input schema has 1 parameter ('url') with 100% coverage and a detailed description including scheme requirement and size limit. The function description lists what meta fields are extracted but adds no extra parameter-specific semantics beyond the schema. Since the schema already provides the necessary details, the description adds marginal value, so a baseline score of 3 is appropriate.

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 lists multiple synonyms that all point to the same core function: extracting meta tags from URLs. It specifies exact outputs (title, description, keywords, canonical, favicon, language, OpenGraph, Twitter Card). The sibling tools include other URL utilities (status check, DNS, SSL, validation), so this tool is well-distinguished as a meta extractor.

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 provides clear use cases: 'For AI agents, link preview, SEO audits, content discovery, bookmarking pipelines.' However, it does not explicitly state when NOT to use this tool or suggest alternative tools for other scenarios. The usage guidance is implied but lacks explicit exclusions or comparisons to siblings.

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