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LiDAR Harness MCP

harness_init

Initialize LiDAR Harness for a project: detect typecheck and lint commands, establish baselines, and classify task complexity. Returns session info with detected commands and PGO readiness.

Instructions

Initialize LiDAR Harness for a project: detect typecheck/lint commands, establish baselines, classify task complexity.

Call this ONCE at the start of a session. Provide the user's task message for complexity classification.

Returns: session info with detected commands, complexity, and PGO readiness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoWorking directory (default: cwd of MCP process)
commandsNoOverride auto-detected commands (e.g. ["npx tsc --noEmit", "npm run lint"])
taskMessageNoUser's task description for complexity classification
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that the tool detects commands, establishes baselines, classifies complexity, and returns session info. However, it does not mention side effects, prerequisites, or whether it overwrites existing state.

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?

Three sentences, each serving a distinct purpose: purpose, usage, return. No redundancy or fluff.

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 tool's role as an initializer with three parameters and no output schema, the description adequately covers what it does, when to call, what to provide, and what it returns. Could elaborate on 'baselines' and 'PGO readiness', but sufficient for typical usage.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. Description adds value by explaining the purpose of taskMessage for complexity classification and that commands can override auto-detection. Adds context beyond 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 clearly states 'Initialize LiDAR Harness for a project' and lists three specific actions: detect commands, establish baselines, classify complexity. It distinguishes from siblings like harness_classify and harness_reset by being the initialization step.

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 says 'Call this ONCE at the start of a session' and advises to provide the user's task message. Provides clear context for usage, though no explicit when-not-to-use or alternative tools are mentioned.

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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