net_meta_analyze

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states that the tool fetches a page and extracts specific meta tags, which is the core behavior. However, it does not mention potential failure modes (e.g., non-HTML pages), output format, or whether any side effects occur, leaving some gaps in 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 a single, front-loaded sentence that starts with the core concept ('网页 Meta 标签分析') and then provides actionable details. It is concise, with no redundant words, and every part contributes to understanding what the tool does.

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 one-parameter tool with no output schema, the description gives sufficient context: it names the resource type, the extraction targets, and the outcome (length suggestions). It does not elaborate on edge cases or output format, but this is not critical given the tool's simplicity. A higher score would require more explicit return details.

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 only one parameter (url) with no description, and schema description coverage is 0%. The description compensates by clearly implying that the URL is the web page to be fetched and analyzed. Although it does not explicitly label the parameter or provide format constraints, the meaning is unambiguous for a single-parameter tool.

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 explicitly states that the tool performs web page meta tag analysis, specifically fetching the page to extract title, keywords, and description and provide length suggestions. This is a specific verb-resource combination with clear scope, and it distinguishes itself from sibling tools like net_fetch or net_keyword_density by focusing on meta tags.

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 the tool is used when you need to analyze a web page's meta tags and get length recommendations. However, it does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions or prerequisites. Usage is inferred from the purpose but not clearly articulated.

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