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list_script_processes

Monitor and review recent Google Apps Script execution processes for a user's account, with optional filtering by script ID to track performance and debug workflows.

Instructions

Lists recent execution processes for user's scripts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesUser's email address
page_sizeNoNumber of results (default: 50)
script_idNoOptional filter by script ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 mentions 'recent' processes but doesn't specify time windows, pagination behavior beyond the page_size parameter, authentication requirements, rate limits, or what the output contains. For a listing tool with zero annotation coverage, this leaves significant behavioral gaps.

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 gets straight to the point with zero wasted words. It's appropriately sized for a straightforward listing operation and front-loads the core functionality.

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 that an output schema exists (per context signals), the description doesn't need to explain return values. However, for a tool with no annotations and multiple parameters, it should provide more behavioral context about what 'recent' means, authentication needs, or how results are structured. The description is minimally adequate but leaves gaps that could hinder effective tool selection.

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 three parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't clarify what 'recent' means or how script_id filtering works). The baseline of 3 is appropriate when the schema does the heavy lifting.

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 ('Lists') and resource ('recent execution processes for user's scripts'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'list_script_projects' or 'get_script_metrics', which could cause confusion about what specifically distinguishes this listing operation.

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. With many sibling listing tools (e.g., 'list_script_projects', 'list_deployments'), there's no indication of whether this is for runtime processes versus project metadata, nor any prerequisites or contextual constraints mentioned.

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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