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Get Script Metrics

get_script_metrics
Read-onlyIdempotent

Retrieve execution metrics for a script project, including active users, total runs, and failure counts over time.

Instructions

Gets execution metrics for a script project.

Returns analytics data including active users, total executions, and failed executions over time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesUser's email address
script_idYesThe script project ID
metrics_granularityNoGranularity of metrics - "DAILY" or "WEEKLY"DAILY

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds that it returns specific analytics data (active users, executions, failures), which goes beyond annotations. However, it does not disclose behavior like pagination, rate limits, or what happens if the script has no metrics.

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?

Two concise sentences that front-load the purpose. No unnecessary words. Every sentence adds value.

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

Completeness4/5

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

Given the presence of an output schema and annotations, the description is fairly complete. It explains what data is returned. It could mention that metrics are time-bounded or that a script project must exist, but overall it covers the essentials.

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 coverage is 100%, with each parameter described. The description mentions the output but does not add additional meaning to the parameters. Baseline 3 is appropriate as the schema already does the work.

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 clearly states the verb ('Gets'), resource ('execution metrics for a script project'), and specifies the returned data (active users, total executions, failed executions). It distinguishes itself from sibling tools, which are either for other types of data or script management.

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 vs. alternatives, no prerequisites, and no exclusions. For a tool that retrieves metrics, it should mention that it complements run_script_function or is used after script execution, but nothing is stated.

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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