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fetch_web_content

Fetch the content of any web page by providing its URL, enabling AI assistants to access and search documentation from web pages.

Instructions

Download content of any web page using Jina reader.

Args: url: The URL of the web page to fetch content from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only says 'using Jina reader' and does not mention potential failures, rate limits, authentication needs, content-size limits, or how errors are surfaced.

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

Conciseness4/5

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

The description is short and front-loaded with the core action. The Args section is slightly redundant with the schema but does not bloat the description.

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

Completeness3/5

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

The tool is simple, has only one parameter, and provides an output schema, which reduces the need to document return values. Still, missing usage guidance and behavioral caveats leave some room for ambiguity about correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description should compensate. However, 'url: The URL of the web page to fetch content from' adds little beyond what the parameter name 'url' and the tool purpose already imply; no format, examples, or constraints are given.

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 a specific verb ('Download') and resource ('content of any web page'), making the core purpose obvious. It does not explicitly differentiate from the sibling query_docs, but the target of web pages versus docs is reasonably distinct.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool instead of query_docs, nor any mention of limitations or conditions. The agent must infer usage from the tool name and one-liner.

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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