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analyze_images

Detect image performance bottlenecks on a path by evaluating key signals, enabling targeted optimizations.

Instructions

Analyze image performance signals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdNo
pathnameNo/
Behavior2/5

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

No annotations are provided, so the description must carry full behavioral burden. It only states 'analyze', which implies a read-only operation but does not disclose side effects, prerequisites, return format, or any other behavioral traits. This is minimal and insufficient for a tool with no annotations.

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

Conciseness3/5

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

The description is extremely concise (one short sentence) with no wasted words, but it is under-specified. While it is front-loaded, it lacks the necessary detail to be considered appropriately sized for the tool's complexity.

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

Completeness1/5

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

Given that the tool has 2 parameters, no annotations, and no output schema, the description is severely incomplete. It does not explain what 'performance signals' refers to, what inputs are used for, or what the agent should expect as a result, making it insufficient for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0% and the description makes no mention of the taskId or pathname parameters. The description fails to compensate for the lack of parameter documentation, leaving the agent with no guidance on what the inputs mean or how to use them.

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

Purpose3/5

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

The description states a verb ('analyze') and a resource ('images'), but 'performance signals' is vague and does not clearly differentiate from sibling tools like detect_broken_images or run_visual_analysis. It is not a tautology, but it lacks specificity about what performance signals are analyzed.

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, no exclusions, and no context for selection. With siblings like run_lighthouse_audit and analyze_fonts covering related concerns, the absence of usage direction is a clear gap.

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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