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aggregate_query

Compute project statistics and analytics by running aggregate queries with functions like count, sum, average, and percentile. Filter, group, and sort data for targeted insights.

Instructions

Execute aggregate queries for project insights, statistics, and analytics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results (default: 50)
filterNoFilter conditions (optional)
group_byNoFields to group results by (optional)
order_byNoSort order (optional)
aggregationYesAggregation specification
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only says 'Execute aggregate queries', implying read-only aggregation but does not explicitly state safety, mutability, rate limits, or other behavioral traits.

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 concise sentence that gets to the point. It is front-loaded and efficient, though a second sentence could add value 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?

Given the tool's complexity (5 parameters including nested objects) and absence of an output schema, the description is insufficient. It does not explain return values, pagination, or constraints, leaving gaps for agent understanding.

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%, so the schema already documents all parameters. The description adds no extra parameter meaning beyond what is in the schema, meeting the baseline expectation.

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 executes aggregate queries for project insights, statistics, and analytics. It distinguishes itself from sibling tools like 'advanced_query' or 'execute_saved_query' by focusing on aggregation, though it could be more specific about the resource scope.

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 guidance on when to use this tool versus alternatives like 'advanced_query' or 'temporal_query'. The description lacks context for preferred usage, exclusions, or prerequisites.

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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