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moonbirdai

Puppeteer+ MarTech

by moonbirdai

track-marketing-beacons

Analyze a webpage's network requests to identify tracking and marketing beacons, revealing analytics tools, advertising pixels, and tag managers in use.

Instructions

Analyze network requests for tracking and marketing activities

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the webpage to analyze
waitTimeNoAdditional time to wait in milliseconds
maxRequestsNoMaximum number of requests to include in results
Behavior2/5

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

No annotations are present, so the description carries the full burden of explaining behavior. It only states 'analyze network requests' without disclosing that the tool likely navigates to the URL, waits for requests, or returns a list. The agent is left uncertain about side effects, prerequisites, and output structure.

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 sentence that is front-loaded with the core action and resource. Every word contributes without filler, making it appropriately concise. Despite being brief, it avoids redundancy and is easy to scan.

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 tool's moderate complexity (3 parameters), lack of output schema, and absence of annotations, the description is incomplete. It does not explain return values, parameter interplay, or behavioral details like page loading, which are essential for an agent to invoke the tool correctly.

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?

Input schema covers all 3 parameters (url, waitTime, maxRequests) with descriptions, providing 100% coverage. The description adds no extra meaning beyond the schema, such as how waitTime affects capture or how maxRequests truncates results, so it meets the baseline but does not enhance parameter understanding.

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 uses the specific verb 'analyze' and identifies the resource as 'network requests' with a focus on tracking and marketing activities. While this clearly states the tool's function, it does not explicitly distinguish it from overlapping sibling tools like parse-analytics-beacons or detect-ad-pixels, so it falls short of full differentiation.

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 the numerous siblings (e.g., find-marketing-technologies, analyze-analytics-platforms). There is no mention of preferred scenarios, exclusions, or alternatives, leaving the agent without selection criteria.

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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