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hubspot_get_pipeline_analytics

Analyze sales pipeline performance by retrieving conversion rates between stages for a specified time period to identify bottlenecks and optimize sales processes.

Instructions

Get analytics for a specific sales pipeline including conversion rates between stages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoEnd date for analysis in ISO format (YYYY-MM-DD)
periodYesTime period to group analytics data by
pipelineIdYesThe ID of the pipeline to analyze
startDateYesStart date for analysis in ISO format (YYYY-MM-DD)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'conversion rates between stages' but lacks details on permissions needed, rate limits, data freshness, or response format. For an analytics tool with zero annotation coverage, this leaves significant gaps in understanding its operational behavior.

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, efficient sentence that front-loads the core purpose without unnecessary words. Every element ('Get analytics', 'specific sales pipeline', 'conversion rates between stages') contributes directly to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 4 parameters with full schema coverage but no annotations and no output schema, the description is adequate for basic understanding but incomplete. It covers what the tool does but lacks behavioral context and output details, making it minimally viable for an analytics tool in this environment.

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%, providing clear documentation for all parameters. The description adds minimal value beyond the schema by implying analytics include conversion rates, but doesn't elaborate on parameter interactions or semantics. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly enhance parameter understanding.

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 verb 'Get' and resource 'analytics for a specific sales pipeline', specifying conversion rates between stages. It distinguishes from general analytics tools like hubspot_get_sales_analytics by focusing on pipeline-specific metrics, though it doesn't explicitly differentiate from hubspot_get_forecast_analytics which might be a closer sibling.

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 is provided on when to use this tool versus alternatives like hubspot_get_sales_analytics or hubspot_get_forecast_analytics. The description implies usage for pipeline analytics but offers no context on prerequisites, exclusions, or comparative scenarios with sibling tools.

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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