analyze_url
Analyzes any URL to extract and structure webpage content for AI language model consumption.
Instructions
Comprehensive analysis of webpage content optimized for LLM understanding
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Analyzes any URL to extract and structure webpage content for AI language model consumption.
Comprehensive analysis of webpage content optimized for LLM understanding
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description lacks behavioral details such as whether it fetches the web page, extracts content, or summarizes. With no annotations, the description should disclose traits like network usage or rate limits but does not.
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?
While short, the description is under-specified and lacks essential details, making it not genuinely concise but rather incomplete.
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 single parameter and no output schema, the description should explain what 'analysis' means (e.g., keywords, summary) but does not. The agent cannot determine the tool's output or behavior.
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 0% coverage and the description provides no information about the 'url' parameter—no format, examples, or constraints. This is a critical gap.
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 it analyzes webpage content, with the verb 'analyze' and resource 'URL'. It distinguishes from sibling tools like 'analyze_youtube_url' and 'analyze_canadian_economy' which are domain-specific.
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?
No guidance is provided on when to use this tool versus its siblings. There are no exclusions or context about when it is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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