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mureo_analytics_modules_list

List analytics modules and capabilities for each integrated platform to determine available deep analytics actions.

Instructions

List analytics modules registered for each integrated platform. Returns one entry per platform with its advertised capabilities (detect_anomalies, diagnose_performance, audit_creative, analyze_budget_efficiency). Workflow skills consult this to decide whether to run deep analytics for a platform or honestly report analytics_not_available_for_<platform>. Built-in (google_ads, meta_ads) and plugin-supplied modules appear in the same shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, but description covers read-only nature, output shape, and inclusion of built-in/plugin modules. Does not mention pagination or error handling, but it's a simple listing.

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?

Two sentences, front-loaded purpose, no wasted words.

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

Completeness5/5

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

Completely describes purpose, output, and use case. No missing information for a parameterless tool.

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?

No parameters, so baseline is 4. No additional parameter info needed.

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?

Description clearly states it lists analytics modules per platform and returns capabilities. It distinguishes from sibling tools by focusing on module discovery rather than actual analysis.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly explains when to use: to decide whether to run deep analytics or report analytics not available. Provides context for workflow skills.

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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