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toller892

Sensor Tower MCP Server Pro

by toller892

get_revenue_estimates

Retrieve revenue estimates for mobile apps by operating system, app ID, country, and date range. Use it to analyze app earnings over specific periods.

Instructions

Fetch revenue estimates for apps by country and date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
osYesOperating system
app_idsYesComma-separated app IDs
end_dateYesEnd date (YYYY-MM-DD)
countriesNoComma-separated country codes
data_modelNoDM_2025_Q2
start_dateYesStart date (YYYY-MM-DD)
date_granularityNodaily
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It implies a read operation via 'Fetch' but does not disclose any other behavior such as the approximate nature of estimates, data model sensitivity, pagination, or authentication requirements. This is a significant gap.

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 of eight words, making it extremely concise. It efficiently conveys the core purpose without any extraneous information.

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 complexity (7 parameters, 3 enums, no annotations, no output schema), this brief description is inadequate. It does not mention the return value format, how data_model affects results, or any limitations, making it insufficient for an agent to invoke the tool with confidence.

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 tool description adds the context that revenue estimates are fetched 'by country and date', which highlights the role of the countries, start_date, and end_date parameters. However, it does not explain os, app_ids, data_model, or date_granularity. With schema coverage at 71%, the description provides marginal additional meaning but leaves the less-covered parameters unexplained.

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 uses the specific verb 'Fetch' and clearly identifies the resource as 'revenue estimates', scoped by 'apps by country and date'. This distinguishes it from sibling tools like get_download_estimates and get_usage_active_users.

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 choose this tool over alternatives. There are no mentions of exclusions, prerequisites, or comparison to sibling tools like get_download_estimates or compact_sales_report_estimates.

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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