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Create a node in a ground

create_node

Adds a node to the project tree, using trunk/limb/twig/leaf/vein types to map modules, screens, and endpoints leaf-first for a complete structural representation.

Instructions

Creates a node. Follows the plant vocabulary protocol — see umtri://rules/vocabulary. type ∈ trunk · limb · twig · leaf · vein. Role is derived (structure / object / action). Build leaf-first: when adding a leaf/vein, create only the missing trunk/limb/twig ancestors on its path, then the leaf — do NOT pre-build every trunk, then every limb, then leaves (see Build order in umtri://rules/vocabulary). Aim for a faithful, COMPLETE map of the project, not a summary: every meaningful module/screen/endpoint/table/integration should become a node (grouped at the information-unit grain, not one-per-file). A real project yields many leaves — under-capturing to a few nodes is the more common mistake. See Completeness in umtri://rules/system-structure. parent ∈ existing node id; omit to create a root-level node. season ∈ existing season id; omit to use the active "now" season. Past seasons are normally rejected, but allowed while the ground is transplanting (project.transplanting=true) — nodes added then are auto-stamped metadata.transplanted=true for audit. See umtri://rules/transplant. The tool validates against protocol policies. Hierarchy violations are rejected. Soft issues (reserved-domain labels, leaf↔vein heuristic, trunk naming) come back as warnings in the response — reconsider before continuing if warnings appear. After creating a leaf/vein, consider its connections: if it calls/feeds another node add an api (create_api), if it depends on/is built on another add an edge (create_edge). The response carries a connectionCheck reminder. See umtri://rules/system-structure (Connections). Creating seasons via MCP is forbidden — see umtri://rules/seasons-human-only. When realizing a human-drawn plan brief, any detail nodes you add should carry metadata.plan=true and the realized node needs metadata.implements — see umtri://rules/plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesGround slug.
tagsNo
typeYesNode type. Use trunk/limb/twig/leaf/vein per the metaphor.
labelYesNode label, visible in the tree.
parentNoParent node id. Omit for root-level (a new trunk).
seasonNoSeason id. Omit to use the active "now" season.
metadataNoFree-form metadata. For `leaf` and `vein`, set `metadata.implements` to an array of file paths (or `path#identifier` for multi-export files) — this is how the graph maps concept → code and is expected on essentially every leaf/vein. Use `metadata.placeholder=true` for intentionally-empty structure.
sproutedAtNoEffective creation time (ISO 8601 with offset, e.g. "2024-03-15T09:00:00Z"). Omit to use the current moment. Use only when back-filling history of a project that existed before Umtri — e.g. importing past commits or migrating a tree. The visualization timeline (sibling order, season visibility, events) follows this value.
descriptionNo
Behavior5/5

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

With no annotations provided, the description carries the full burden and excels: it discloses validation against protocol policies, rejection of hierarchy violations, soft issues returning as warnings, a connectionCheck reminder in the response, and transplant-specific behavior (auto-stamping metadata.transplanted=true). This goes well beyond basic mutation disclosure.

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 long and dense, but every sentence carries distinct operational value—build order, completeness, warnings, connection follow-ups, transplant rules, and plan metadata. It loses a point for being a single unstructured block with repeated 'umtri://' references, which makes scanning harder, though it is not wasteful.

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

Completeness5/5

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

For a tool with 9 parameters, no output schema, and no annotations, this description is remarkably self-sufficient. It covers creation rules, hierarchy constraints, warning behavior, connection next-steps, season/transplant edge cases, and plan metadata expectations, leaving no major operational gap.

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 78% (7 of 9 properties have descriptions), so the baseline is 3. The description adds meaningful semantics for `type` (the metaphor vocabulary), `parent` (root-level omission), `season` (transplant allowances), and `metadata` (implements/placeholder conventions), which exceeds what the schema alone provides. It omits `sproutedAt` and `description` but those are adequately covered by 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 opens with 'Creates a node' and immediately defines the plant vocabulary protocol (trunk/limb/twig/leaf/vein), making the resource and action explicit. It also distinguishes from siblings by explaining when to use create_api/create_edge for connections, preventing confusion with related tools.

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?

It provides explicit when-to-use and when-not-to-use guidance: build leaf-first, do NOT pre-build every trunk/limb, aim for complete maps, and add connections via create_api/create_edge after leaves/veins. It also forbids season creation via MCP and details plan-rule behavior for realizing human-drawn briefs.

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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