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Zenskar MCP Server

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by zenskar

getAggregateEstimates

getAggregateEstimates

Retrieve billable metric estimates for a customer over a date range. Specify the aggregate ID and customer ID to get usage estimates.

Instructions

Get Billable Metric estimates based on the specified criteria.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aggregate_idYesThe ID of the Billable Metric (aggregate).
customer_idYesThe ID of the customer.
start_dateYesStart date of the estimate window. ISO 8601 date format only — YYYY-MM-DD (e.g., '2025-01-15'). NOT datetime.
end_dateYesEnd date of the estimate window. ISO 8601 date format only — YYYY-MM-DD (e.g., '2025-01-31'). NOT datetime.
get_singleNoWhether to get a single estimate (defaults to true).
__userContextNoInternal user context for multi-tenant authentication and approval workflow
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as side effects, authentication needs, or data freshness. For a tool that returns estimates, lack of transparency about computation or constraints is a notable gap.

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 concise and direct, using a single sentence. While it may be too brief, it effectively communicates the core action without unnecessary words.

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?

The description lacks completeness given the complexity: no output schema, no annotations, and a nested __userContext parameter. It does not explain return format, constraints, or the nature of estimates.

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?

Schema description coverage is 100%, with each parameter well-documented. The description itself adds no additional parameter meaning, so it meets the baseline for high coverage.

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 clearly states the tool retrieves Billable Metric estimates, specifying both the verb and resource. While it does not explicitly distinguish from siblings like getAggregateById, the resource name implies a different purpose, so it is reasonably distinct.

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 alternatives, nor any context or preconditions. It simply states the action without any usage direction.

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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