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extract_perfetto

Extract profiler insights by running versioned curated queries on local Perfetto traces, enabling comparison and audit without uploading code or data.

Instructions

Run versioned curated queries through a configured local Trace Processor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes
artifact_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

C2.6/5.0
Behavior2/5

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

Annotations indicate readOnlyHint=false and idempotentHint=false, yet the description does not clarify whether the tool returns results directly, creates an extraction record, or requires later retrieval via get_extraction. It adds minor context by saying queries are 'versioned' and the processor is 'local', but it omits any side effects, asynchrony, or setup implications.

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 a single concise sentence and front-loads the core action. The phrasing is economical, though terms like 'versioned curated queries' are jargon-heavy and could be simplified without losing content.

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?

For a tool with extraction-like behavior and a sibling get_extraction, the description is too sparse to support correct invocation: it does not explain what inputs mean, whether output is synchronous, or how this relates to other extraction and retrieval tools. An output schema exists, so return structure is less of a gap, but overall usability remains weak.

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

Parameters1/5

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

Schema description coverage is 0%, so the description carried the full burden of explaining run_id and artifact_id. It mentions neither parameter, leaving the agent to infer meaning only from the parameter names and titles 'Run Id' and 'Artifact Id'. This is insufficient, especially for artifact_id's nullable default behavior.

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 and resource: 'Run versioned curated queries through a configured local Trace Processor.' Combined with the name 'extract_perfetto', it is reasonably clear this extracts Perfetto trace data via a local processor, distinguishing it from extraction tools for other profilers. However, 'versioned curated queries' is somewhat vague about what data is produced.

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 about when to use this tool versus sibling extract_* tools or get_extraction. The mention of 'configured local Trace Processor' hints at a prerequisite but does not explicitly explain setup requirements, nor does it name alternatives or exclusion cases.

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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