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Daemon-Killer

google-activity-assistant

get_activity_stats

View activity counts and date ranges to confirm imported Takeout data and see available products.

Instructions

Return counts and date range for the local activity database. Use this to check whether Takeout data has been imported and which products exist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It adds context that the database is local and that it checks import status, implying a safe read-only operation, but it doesn't explicitly state side-effect-free behavior, authentication requirements, or rate limits.

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 two crisp sentences: the first states the core function, the second gives a concrete use case. No waste, front-loaded.

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

Completeness5/5

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

For a zero-parameter stats tool with an output schema, the description sufficiently covers purpose, usage context, and domain context (local database, Takeout import). There are no meaningful gaps.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4 per the rubric. The description naturally introduces no parameter confusion, and the output schema handles return value documentation.

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 states the tool returns counts and date range for the local activity database, which is a specific action on a specific resource. It differentiates from sibling tools by focusing on aggregate statistics rather than searching (search_activity) or general database info (get_db_info).

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

Usage Guidelines4/5

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

The description explicitly tells the user to use this tool to check whether Takeout data has been imported and which products exist, providing a clear use case. It doesn't name alternatives, but the context makes it distinct from siblings.

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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