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Export an event window for the Rerun viewer

export_for_rerun
Idempotent

Convert a time window of topic data into a Rerun .rrd recording, turning every scalar signal into a time series for visual inspection in the Rerun viewer.

Instructions

Export a time window of topic data as a Rerun recording (.rrd): every scalar signal becomes a Rerun time series, so rerun <file> opens the event in the Rerun viewer. Use after preview_pipeline to hand an event to a human for visual inspection. Needs the optional rerun-sdk dependency (uv sync --group viz).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNo
nameNoevent
pathYes
topicsYes
signalsNo
end_secondsYes
start_secondsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already indicate the operation is non-destructive and idempotent. The description adds useful behavioral context: scalar signals become Rerun time series, the output is an .rrd file, and a specific dependency is required. However, it does not disclose output file naming/location, behavior with non-scalar topics, or possible size/scope limitations.

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 three focused sentences: it opens with the core purpose, then adds the recommended usage context, then notes the dependency. It is concise and front-loaded, though the title and first sentence repeat the same 'export event window' idea.

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 the tool has seven parameters and zero schema descriptions, the description provides a decent high-level overview but is not complete enough for reliable parameter use. It covers purpose, use case, output format, and dependency, yet leaves parameter semantics and output specifics largely implicit. The presence of an output schema and good annotations helps, but the large parameter surface area still demands more detail.

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?

There is zero schema-level parameter description coverage, so the description must compensate, but it does not explicitly describe any of the seven parameters. It only hints at time window and topic filtering via phrases like 'time window of topic data' and 'scalar signal,' leaving `path`, `topics`, `start_seconds`, `end_seconds`, `signals`, `name`, and `args` under-explained.

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 a specific action—exporting a time window of topic data as a Rerun recording (.rrd)—and differentiates the tool from sibling export tools by naming the Rerun viewer and the .rrd format. It also mentions the concrete outcome (`rerun <file>` opens the event).

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 says when to use the tool: 'Use after preview_pipeline to hand an event to a human for visual inspection.' It also notes a prerequisite (optional rerun-sdk dependency), which helps the agent plan setup. It does not explicitly contrast with sibling export formats, but the unique target format and viewer make the intended context fairly clear.

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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