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memorydetective

Analyze energy use / battery drain from an Energy Log trace

analyzeEnergyImpact

Analyzes energy-impact data from a .trace file to identify why an app drains battery, returning per-sample classifications and top energy-cost samples.

Instructions

[mg.trace] Parse the energy-impact schema from a .trace recorded with an Energy Log template. Returns per-sample bucket classification (idle / passive / active / high), aggregate wakeup count, active-state ratio, top-N samples by energy cost. The 'why is my app draining battery?' investigation. Distinct from analyzeTimeProfile (CPU sampling); reads the OS power-management subsystem directly. v1.15+.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracePathYesAbsolute path to a `.trace` bundle recorded with an Energy Log template that includes the energy-impact instrument.
topNNoReturn the top N samples ranked by energy cost descending (default 10).
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.
Behavior3/5

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

With no annotations, the description carries full burden. It discloses that it parses the trace, returns bucket classification, wakeup count, active-state ratio, and top-N samples. It mentions v1.15+ but does not specify side effects or error handling. Lacks explicit read-only statement, but the nature of trace analysis implies no destructive actions.

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 relatively concise and front-loaded with the core purpose. It uses brackets to highlight the tool source, and includes version info. Every sentence adds value, though it could be slightly more structured.

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?

No output schema exists, so the description must explain return values. It lists returned items (classification, wakeup count, ratio, top-N) but lacks details on format or structure. For a tool with 3 parameters, this 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?

Schema coverage is 100% with descriptions for all three parameters. The description adds context like 'top-N samples by energy cost' but does not provide additional semantic value beyond what the schema already offers. Baseline 3 is appropriate.

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 tool parses the energy-impact schema, returns classification and aggregate data, and distinguishes itself from analyzeTimeProfile by specifying it reads the OS power-management subsystem directly. The verb 'Parse' and resource 'energy-impact schema' are specific.

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?

Explicitly mentions the use case 'why is my app draining battery?' and distinguishes from analyzeTimeProfile. However, it does not provide guidance on when not to use or alternative tools among the many siblings, but the single distinction is 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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