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web_fetch

Fetch a web page, convert HTML to markdown, and get answers to any question about its content.

Instructions

Fetch a web page and answer questions about its content.

Fetches the URL, converts HTML to markdown, and uses Claude to answer the prompt based on the page content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to fetch content from. HTTP URLs are auto-upgraded to HTTPS.
promptYesQuestion or instruction about the page content.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 the process (fetch, convert to markdown, use Claude to answer) but does not mention limitations, rate limits, error handling, or authentication requirements. Adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences front-load the purpose and process. Every sentence adds value without redundancy. Highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description does not need to explain return values. It covers input, process, and expected outcome. However, it could mention if raw content is also returned, but given the output schema, this is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with clear descriptions for both parameters (URL auto-upgrade, prompt as question/instruction). The description adds value by explaining that the prompt is answered using Claude, which goes beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches a web page and answers questions about its content using Claude, indicating a specific verb and resource. However, there are no sibling tools to differentiate from, so it lacks differentiation but is clear enough.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for fetching web pages and extracting answers, but no explicit guidance on when to use, when not to use, or alternatives is provided. With no sibling tools, it relies on implicit context.

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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