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CSOAI-ORG

Marketing Analytics AI MCP

campaign_roi

Calculate campaign ROI, ROAS, CPA, CPC, CPM, CTR, and conversion rate from spend, revenue, conversions, impressions, clicks, and period. Get performance assessment with actionable recommendations.

Instructions

Calculate comprehensive campaign ROI including ROAS, CPA, CPC, CPM, CTR, conversion rate, and performance assessment with recommendations.

Args: spend: Total campaign spend in dollars revenue: Total revenue attributed to campaign conversions: Number of conversions impressions: Total ad impressions clicks: Total ad clicks period_days: Campaign duration in days

Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spendYes
clicksNo
api_keyNo
revenueYes
conversionsNo
impressionsNo
period_daysNo
Behavior5/5

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

With no annotations provided, the description thoroughly discloses all behavioral traits: read-only and stateless, no side effects, idempotent, authentication requirements, rate limits, error handling, and data privacy. This fully compensates for the missing annotations.

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

Conciseness4/5

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

The description is well-structured with clear sections (Args, Behavior, When to use/not use, Behavioral Transparency). It is front-loaded with purpose and parameters. Some redundancy exists between the 'Behavior' and 'Behavioral Transparency' sections, but overall it is efficient and organized.

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?

Given 7 parameters and no output schema, the description covers purpose, parameters, behavior, side effects, and error handling. It lists the computed metrics but does not detail the output format or calculation assumptions. Still, it provides sufficient context for an agent to use the tool effectively.

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?

The schema has no property descriptions (0% coverage), but the description's 'Args' section provides meaningful explanations for each parameter (e.g., 'Total campaign spend in dollars', 'Total revenue attributed to campaign'). This adds significant value beyond the schema, though units and constraints could be more explicit.

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?

The description clearly states the tool calculates comprehensive campaign ROI with specific metrics (ROAS, CPA, CPC, CPM, CTR, conversion rate) and performance assessment. It distinguishes itself from siblings like ab_test_analyze and ad_copy_generator by focusing on ROI calculation.

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

Usage Guidelines4/5

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

The description includes explicit 'When to use' and 'When NOT to use' sections. While the when-to-use is generic, it provides context for ROI analysis. It lacks explicit alternatives or prerequisites but still offers clear guidance.

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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