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Zenskar MCP Server

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by zenskar

getAggregateLogs

getAggregateLogs

Retrieve logs for a Billable Metric by aggregate ID, with optional filters for date range, month, customer, and query limit.

Instructions

Get logs related to a Billable Metric (also called an aggregate) by ID, with optional date and customer filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aggregateIdYesThe ID of the Billable Metric (aggregate).
start_dateNoStart date for filtering logs (YYYY-MM-DD).
end_dateNoEnd date for filtering logs (YYYY-MM-DD).
monthNoFilter by month (e.g., 'Apr 2023').
customer_idNoFilter by customer ID.
query_limitNoLimit the number of log entries (defaults to 100).
__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, so the description bears full responsibility for behavioral disclosure. It does not mention authentication needs, rate limits, side effects, or the nature of the operation (read-only). Only minimal purpose is conveyed.

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 a single 19-word sentence that is concise and front-loaded with the main action. It is efficient but could be more structured without harming conciseness.

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?

With 7 parameters and no output schema, the description lacks detail on return format, pagination, or behavior of the 'month' parameter vs. date range. It is incomplete for a tool with this complexity.

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 coverage is 100%, with each parameter described in the schema. The description adds a summary of optional filters but does not provide additional meaning beyond what the schema already offers. Baseline of 3 is appropriate.

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 verb 'get', the resource 'logs related to a Billable Metric (aggregate)', and the identifier 'by ID', with optional date and customer filters. It distinguishes from siblings like getAggregateById and getRawMetricLogs.

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

Usage Guidelines3/5

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

The description implies usage for fetching logs of a specific aggregate with optional filters, but it does not provide explicit guidance on when to use this tool versus alternatives like getRawMetricLogs, nor does it mention when not to use it.

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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