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carloshpdoc

memorydetective

Get the canonical tool sequence for a known investigation kind

getInvestigationPlaybook

Returns a predefined pipeline for investigating iOS issues like memory leaks or performance hangs. Each step details the tool, purpose, and required arguments.

Instructions

[meta] Returns a versioned, declarative pipeline for a known investigation flow (memgraph-leak, perf-hangs, ui-jank, app-launch-slow, verify-fix). Each step has a tool name, purpose, and argsTemplate. Use this once at the start of an investigation so any LLM agent can follow the right sequence without rediscovering it from individual tool descriptions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesWhich investigation flow to return. `memgraph-leak` is the most common — diagnose a SwiftUI/Combine retain cycle from a `.memgraph` and locate it in source.
Behavior3/5

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

No annotations provided, so description must carry full burden. It describes the return and usage but does not explicitly state it is read-only or non-destructive, nor mention any side effects.

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 sentences, each earning its place: first defines the tool, second gives usage guidance. Information is front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema, the description mentions the structure of each step (tool name, purpose, argsTemplate). This provides adequate completeness for a meta-tool, though a bit more detail on format could be added.

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

Parameters5/5

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

The description of the 'kind' parameter adds valuable context beyond the schema, such as the most common flow and its purpose. Schema coverage is 100% and the description enhances understanding.

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?

Clearly states it returns a versioned, declarative pipeline for known investigation flows, with specific examples. Distinguishes itself from sibling analysis tools by being a meta-tool.

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

Usage Guidelines5/5

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

Explicitly advises to use it once at the start of an investigation to avoid rediscovery of the tool sequence. Provides a clear context for when to invoke.

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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