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fetch_url

Fetches and extracts readable text content from any URL, including JavaScript-rendered pages like SAP Help Portal and SAP Community blogs. Returns the content in plain text for direct reading.

Instructions

Fetches and extracts readable content from a URL. Works with JavaScript-rendered pages (SPAs) like SAP Help Portal, SAP Community blogs, SAP Notes, or any web page. Returns the extracted text content. Use when you need to read the actual content of a specific URL (not search). Requires TAVILY_API_KEY in .env.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to fetch and extract readable content from (e.g. 'https://help.sap.com/docs/...'). Works with JavaScript-rendered pages (SPAs) like SAP Help Portal.
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that it works with JavaScript-rendered pages and returns extracted text. However, it does not mention potential failure modes, rate limits, or error handling, leaving 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.

Conciseness5/5

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

The description is three sentences, front-loaded with the core purpose, followed by context and usage. Every sentence earns its place with no fluff.

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?

Given one simple parameter and no output schema, the description is fairly complete: it explains the tool's function, usage context, and a prerequisite. It could elaborate on error behavior, but it is sufficient for a straightforward tool.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description does not add new meaning for the 'url' parameter beyond what the schema already provides, as both state the same examples and behavior.

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

Purpose5/5

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

The description clearly states the tool fetches and extracts readable content from a URL, works with JavaScript-rendered pages, and distinguishes itself from search tools by noting 'not search'. It specifies the verb 'Fetches and extracts' and the resource 'readable content from a URL'.

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

Usage Guidelines4/5

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

The description explicitly says when to use: 'when you need to read the actual content of a specific URL (not search)'. It also mentions the requirement for TAVILY_API_KEY, providing context for usage. However, it does not explicitly exclude alternatives or specify when not to use.

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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