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get_productivity_summary_for_time_range

Retrieve a productivity summary for a specified time range, analyzing task completion and activity trends over days, weeks, or months.

Instructions

Get a comprehensive productivity summary for a specified time range

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days to analyze from today backwards (default: 7 for weekly summary) Examples: 1 (today only), 7 (past week), 30 (past month)
start_dateNoStart date in YYYY-MM-DD format (overrides days parameter)
end_dateNoEnd date in YYYY-MM-DD format (defaults to today if start_date provided)
debugNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metadataYesMetadata about the data itself
summaryYesHuman-readable insights
debugYes
successYes
api_versionNocurrent
response_versionNo1.0
Behavior2/5

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

Annotations are absent, so the description must disclose behavioral traits. It fails to mention side effects, authorization requirements, rate limits, return format, or any operational behavior beyond a vague 'comprehensive summary'. This is insufficient for an AI agent to safely invoke the tool.

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 sentence of 9 words, which is concise and front-loaded. However, it could be slightly more informative without significant bloat, such as adding a brief mention of what the summary includes.

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 has 4 parameters and an output schema, and there are several related sibling tools, the description is too minimal. It does not leverage the output schema's existence to explain return values, nor does it provide enough context to distinguish from similar productivity summaries. The agent lacks sufficient information to use this tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 75% (three of four parameters have descriptions). The tool description adds no additional parameter information beyond what the schema already provides. The 'debug' parameter lacks a description in the schema, but the tool description does not compensate.

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 gets a 'comprehensive productivity summary' for a specified time range. The verb 'get' and resource 'productivity summary' are specific, but it does not differentiate from siblings like 'get_daily_productivity_overview' or 'time_tracking_summary', which may have overlapping functionality.

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. For example, it doesn't explain when to prefer this over 'get_daily_productivity_overview' or 'time_tracking_summary', nor does it mention prerequisites or use cases.

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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