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getOgScrapeData

Extract structured metadata from any webpage URL using OpenGraph's API to retrieve title, description, image, and other page information for content analysis.

Instructions

Scrape data from a given URL using OpenGraph's scrape endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the webpage to scrape data from
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool scrapes data but doesn't mention potential side effects (e.g., network requests, rate limits, authentication needs), response format, or error handling. This is inadequate for a tool that likely makes external calls.

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, efficient sentence that directly states the tool's function without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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

Completeness2/5

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

Given the complexity of a scraping tool with no annotations and no output schema, the description is insufficient. It doesn't explain what data is returned (e.g., OpenGraph metadata), potential limitations, or how it differs from siblings, leaving significant gaps for an agent to use it effectively.

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 has 100% description coverage, with the 'url' parameter well-documented as 'URL of the webpage to scrape data from'. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 without compensating value.

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 action ('scrape data') and resource ('from a given URL using OpenGraph's scrape endpoint'), making the purpose understandable. It distinguishes from some siblings like 'getOgData' or 'getOgExtract' by specifying the 'scrape endpoint', but doesn't explicitly differentiate from all potential alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives like 'getOgData' or 'getOgExtract', which are sibling tools. It mentions the 'scrape endpoint' but doesn't explain when this is preferred over other OpenGraph-related tools, leaving the agent without usage 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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