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get_timeline_hourly

Retrieve an hourly timeline summary to analyze activity by hour, filterable by cameras, labels, and time zone.

Instructions

Get hourly bucketed timeline summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoStart Unix timestamp
beforeNoEnd Unix timestamp
labelsNoComma-separated labels (or 'all')
camerasNoComma-separated camera names (or 'all')
timezoneNoIANA timezone

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description bears full responsibility for disclosing behavior. It only states that it retrieves a summary, implying a read operation, but does not mention any potential side effects, data ranges beyond the parameters, or ordering/pagination behavior. The description is too thin to fully understand what the tool does beyond the literal meaning.

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, front-loaded sentence with no wasted words. It delivers the core purpose efficiently and is easy to scan.

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?

The tool has 5 optional parameters and an output schema, but the description does not explain what a 'timeline summary' actually contains or how the hourly buckets are constructed. It lacks enough context for an agent to understand the semantics of the result, especially given many similar sibling tools. The existence of an output schema partially compensates, but the conceptual description is insufficient.

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%, so the description does not need to restate parameter details. The phrase 'hourly bucketed' adds context that after/before define the time window for bucketing, but it does not clarify how the timezone parameter affects the buckets or how labels/cameras filter the summary. This is adequate but not enriched beyond baseline.

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 states a specific verb ('Get') and resource ('hourly bucketed timeline summary'), clearly indicating the tool returns timeline data aggregated by hour. It distinguishes itself from the sibling tool 'get_timeline' by explicitly mentioning the hourly bucketing, providing useful differentiation.

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 given on when to use this tool versus alternatives such as 'get_timeline' or 'get_event_summary'. The context is implied by the name and description, but there is no explicit mention of preferred scenarios or exclusions.

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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