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extract_content

Retrieve and parse content from a URL or file, using automatic extraction to integrate it into your enterprise knowledge hub.

Instructions

Extract content from a URL or file using Content Core's auto engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoOptional URL to extract content from
file_pathNoOptional file path to extract content from

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description bears full responsibility for disclosing behavior. However, it only mentions 'auto engine' without explaining output format, error handling, authentication requirements, or side effects. This leaves significant behavioral ambiguity.

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 a single, direct sentence that front-loads the core action and resource. It contains no fluff or redundant information, earning a perfect score for conciseness and structure.

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 relatively simple with two optional parameters and an output schema present, so the description covers the basic purpose. However, it does not clarify that at least one of url or file_path is expected, nor does it indicate what happens if both are omitted. This is a notable gap in completeness.

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?

The input schema covers both parameters fully (100% coverage), so the baseline is 3. The description adds the relationship that the two parameters are alternatives ('a URL or file'), which is useful but not substantial. Most parameter meaning is already available in the schema.

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 uses a specific verb 'extract' and clearly names the resource ('content from a URL or file'). It conveys the tool's primary function unambiguously. With no sibling tools present, there is no need for differentiation.

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 phrase 'using Content Core's auto engine' implies the tool is for automated extraction, but there is no explicit guidance on when to use this tool versus alternatives. Since no sibling tools exist, the absence of explicit comparisons is acceptable, but context is still only implied.

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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