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init_project

Initializes the .mltree/ store (pipeline.yaml, mltree.db, runs/) in the project root and is safe to run again.

Instructions

Create the .mltree/ store (pipeline.yaml, mltree.db, runs/) in the project root. Safe to call again.

Input Schema

NameRequiredDescriptionDefault
nameNoProject name; defaults to the folder name

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations at all, the description carries the full behavioral burden, and it does disclose the key risk trait: idempotency ('safe to call again'). It leaves open what happens to pre-existing files (overwrite vs preserve), whether permissions are required, and whether the call is slow — gaps that matter for an initialization/mutation tool with zero annotation coverage.

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 short sentences, zero filler, with the concrete side effects front-loaded before the idempotency note. Every clause earns its place.

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?

Output schema exists and annotations are absent but the tool is simple (one optional param), so the description covers nearly everything needed: what is created, where, and that re-invocation is safe. Only the overwrite/permission behavior on existing stores is unaddressed.

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% and the single optional 'name' parameter is fully documented in the schema ('defaults to the folder name'). The description adds no parameter-level detail, so the schema baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Create) and resource (.mltree/ store) and enumerates the artifacts produced (pipeline.yaml, mltree.db, runs/), so the agent knows exactly what will exist afterward. It does not distinguish itself from siblings such as scan_project, but no sibling plausibly competes for the same action.

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?

Usage is only implied: creating the store is obviously a prerequisite step, but the description never says when to call it, when not to, or how it relates to scan_project. 'Safe to call again' informs repeated invocation but is not selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.