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Scan image dimensions

scan_image_dimensions

Audits images on any public web page: compares natural vs rendered dimensions, flags oversized images, and provides format breakdown to identify performance issues.

Instructions

Audit the images on any public web page. Returns each image's natural vs rendered dimensions, flags oversized images (downloaded much larger than displayed — a common Largest Contentful Paint problem), and breaks down formats (WebP/AVIF adoption). Useful for web performance and image-optimization work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe public URL of the page to audit.
oversizedThresholdNoArea-overshoot ratio above which an image is flagged oversized. Default 4 (≈2x in each dimension).
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the main behaviors (returns dimensions, flags oversized images, breaks down formats) but lacks details on rate limits, error handling, or network requests. With no annotations, a score of 3 is appropriate—adequate but with gaps.

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 two sentences with no wasted words. The first sentence introduces the main action, and the second adds detail and use case. Every sentence is informative.

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?

No output schema exists, but the description explains the return values (natural vs rendered dimensions, flagged oversized images, format breakdown). It gives a clear picture of the output, though it could mention whether results are returned as a list or summary, or how errors are reported.

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%, so parameters are well-documented in the schema. The description adds context by explaining the 'oversizedThreshold' parameter in relation to the Largest Contentful Paint problem, and reinforces that 'url' is for a public page. This adds value beyond 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 clearly states the tool audits images on a public web page, returning dimensions, flagging oversized images, and breaking down formats. The verb 'audit' combined with the specific resource 'images on any public web page' makes the purpose unambiguous.

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 states the tool is 'useful for web performance and image-optimization work,' providing clear context. While no alternatives or exclusions are mentioned, there are no sibling tools requiring differentiation, so the guidance is sufficient.

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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