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carloshpdoc

memorydetective

Analyze a Time Profiler trace

analyzeTimeProfile

Export time-profile from .trace bundles and return top symbols by sample count to identify the hottest stacks.

Instructions

[mg.trace] Export the time-profile schema from a .trace bundle and return top symbols by sample count. Note: heavy/unsymbolicated traces may crash xctrace export — when that happens, the tool returns a notice field with workarounds (open in Instruments first to symbolicate, or re-record shorter).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracePathYesAbsolute path to a `.trace` bundle.
topNNoReturn the top N hottest stacks by sample count (default 20).
outputFormatNoResponse format. Omitted or `json` (default, preserves v1.8 behavior) returns JSON.stringify of the result. `markdown` renders a human-readable view of the same data. `both` returns both content items in one response, so a client can display markdown to the user and parse JSON for the agent loop without a second call. `verify-fix-table` (v1.10, applies to `analyzeAbandonedMemory` and `diffMemgraphs`) emits a focused 4-column markdown comparison table (Class | Before | After | Delta) of the actionable rows; other tools fall back to `markdown` for this value.
Behavior4/5

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

Discloses that heavy/unsymbolicated traces may crash and describes the returned notice field with workarounds. With no annotations, this provides useful behavioral context, though permissions or other side effects are omitted.

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: the first states the core operation, the second provides a critical caveat. No unnecessary words.

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?

Lacks a description of the normal return structure beyond 'top symbols by sample count'. Without an output schema, more detail on the response format would improve completeness.

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 covers 100% of parameters with descriptions. The first sentence reinforces the meaning of topN, but adds minimal new meaning beyond the schema.

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 explicitly states the action (export time-profile schema and return top symbols) and the resource (.trace bundle). It distinguishes from sibling tools by focusing on time-profile analysis.

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?

No explicit guidance on when to use this tool versus alternatives like analyzeMemgraph. The context is implied but not comparative.

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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