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mukul975
by mukul975

analyze_page_speed

Measure website loading performance and identify optimization opportunities by analyzing key speed metrics for desktop and mobile devices.

Instructions

Analyze page loading speed and performance metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to analyze page speed for
deviceNoDevice type for analysis (default: both)both
metricsNoPerformance metrics to analyze (default: all)
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. While it mentions analysis (implying a read operation), it doesn't specify whether this requires authentication, has rate limits, what format results come in, whether it's a real-time or cached analysis, or any error conditions. For a tool with zero annotation coverage, this leaves significant behavioral 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 a single, efficient sentence that directly states the tool's purpose without any unnecessary words or fluff. It's appropriately sized and front-loaded with the core functionality.

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?

For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what kind of analysis results to expect, whether this is a lightweight or resource-intensive operation, or how it differs from similar sibling tools. The agent would need to guess about the tool's behavior and output format.

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 all parameters well-documented in the schema itself. The description doesn't add any meaningful parameter semantics beyond what's already in the schema descriptions. This meets the baseline expectation when schema coverage is complete.

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 tool's purpose as analyzing page loading speed and performance metrics, which is a specific verb+resource combination. However, it doesn't differentiate from the sibling tool 'analyze_performance' or 'benchmark_performance', leaving some ambiguity about how this tool differs from other performance-related tools in the server.

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 'analyze_performance' or 'benchmark_performance'. There's no mention of prerequisites, typical use cases, or distinctions from sibling tools that might handle similar functionality.

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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