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maestro_get_analytics

Retrieve comprehensive analytics from MAESTRO sessions, including session tracking, cost analysis, and quality metrics. Monitor usage and performance to optimize design generation.

Instructions

Get MAESTRO session analytics and usage metrics.

Phase 6 feature: Provides comprehensive analytics including:

  • Session tracking (duration, questions asked)

  • Cost analysis (API token usage, estimated costs)

  • Quality metrics (design scores, dimension breakdowns)

Returns: Dict containing: - session_tracker: Session statistics - cost_summary: Token usage and cost estimates - quality_summary: Quality score aggregations

Example: # Get analytics after running several sessions analytics = await maestro_get_analytics() print(f"Toplam oturum: {analytics['session_tracker']['total_sessions']}") print(f"Tahmini maliyet: ${analytics['cost_summary']['total_cost']:.4f}")

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, so description carries full burden. It describes return structure and example usage, implying a read-only analytics operation. However, it does not explicitly state that data is not modified or mention rate limits or permissions.

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?

Description is three paragraphs with an example including Turkish text, making it longer than needed. The example is somewhat verbose and could be condensed for an English-speaking agent.

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?

Covers return data categories and provides an example. Lacks prerequisites (e.g., needing an active session) and does not mention any error conditions, but overall adequate for a simple analytics tool.

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

Parameters5/5

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

Input schema has zero parameters (100% coverage trivially). Description adds value by explaining the output fields and context, which is sufficient for a parameterless tool.

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?

Clearly states 'Get MAESTRO session analytics and usage metrics,' listing specific categories (session tracking, cost analysis, quality metrics). Distinguishes from sibling tools like maestro_abort or maestro_start_session.

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?

No explicit guidance on when to use this tool versus alternatives. The only contextual hint is 'Phase 6 feature,' but it lacks when/why not or alternative tool references.

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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