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memorydetective

Analyze allocations from a .trace bundle

analyzeAllocations

Parse .trace allocation records to produce per-category aggregates, top allocators by size and count, and a dominant allocator diagnosis.

Instructions

[mg.trace] Parse the allocations schema from a .trace recorded with the Allocations Instruments template. Returns per-category aggregates (cumulative bytes, allocation count, lifecycle = transient/persistent/mixed), top allocators by size and by count, and a one-liner diagnosis identifying the dominant allocator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracePathYesAbsolute path to a `.trace` bundle recorded with the Allocations template (`xcrun xctrace record --template Allocations --attach <app|pid>`).
topNNoReturn the top N allocators by aggregated size (default 15).
minBytesNoFilter out individual allocations smaller than this size in bytes (default 0). Use 1024 to focus on >1KB allocations.
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It describes outputs but does not disclose whether the tool is read-only, requires specific permissions, or has side effects. The name 'analyzeAllocations' suggests read-only, but this is not confirmed.

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 concise, front-loads the core action, and provides a clear list of return values. It is efficient with no wasted words, though slightly longer than necessary.

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 lack of output schema and annotations, the description explains what the tool returns but omits details on output format, error handling, and behavioral constraints. It is adequate but not fully complete.

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?

Input schema describes all 3 parameters with good detail (100% coverage). The tool description adds no additional parameter semantics beyond what the schema already provides. Therefore, baseline 3 applies.

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 'Parse' and the resource 'allocations schema from a .trace'. It lists specific outputs (per-category aggregates, top allocators, diagnosis) and distinguishes itself from sibling tools that analyze other metrics like hitches or launches.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (for .trace files recorded with Allocations template) but does not explicitly state when to use this tool over siblings or provide 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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