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Location → Welt

lab_welt

Build a walkable 3D WORLD (Gaussian splat, World Labs Marble) from ONE location picture (costs credits — exact price via get_cost: true). Source: a location board's time variant (loc_id + variante) OR a gallery image of the project (quell_bild_id). stufe 'entwurf' is a cheap draft (about a minute), 'voll' the full world (5-15 min). ASYNCHRONOUS: returns welt_id; poll lab_welt_status. When done, open the studio link, place a camera and save angles — they land in the project gallery and work as seed_image_url for lab_generate. The world only holds near the spot the picture was taken from: reverse shots from inside the room work, flying through walls does not.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stufeNo'entwurf' = cheap draft, 'voll' = full world (default)
loc_idNoLocation board id (from lab_list_locations); needs variante
get_costNoFree: the exact price of this operation; nothing is built or charged. Name it to the person before the real run.
varianteNoWhich picture of the board: a time variant or its 360° panorama
project_idYesProject id (from lab_list_projects) — the world is filed in this project's gallery
text_promptNoOptional description of the place; for a board its prompt prefix is used when left out
quell_bild_idNoInstead of a board: a finished gallery image of THIS project

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=false and destructiveHint=false, so the description carries real weight and delivers: credit consumption, stufe cost/duration tradeoff (~1 min vs 5-15 min), asynchronous welt_id return, and the spatial limitation that the world only holds near the camera spot (reverse shots ok, flying through walls not).

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?

Dense but front-loaded and largely waste-free: purpose, cost, sources, async contract, follow-up workflow, limitation. Slight redundancy with the schema on stufe enum values and the get_cost wording keeps it off a 5.

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?

No output schema exists, yet the description still discloses the return value (welt_id) and the polling sibling, plus what happens after completion. For an async, credit-consuming generation tool with 7 parameters, nothing an agent needs to call it correctly is missing.

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%, so baseline is 3; the description still adds meaning by framing loc_id+variante as a coupled pair, describing quell_bild_id as the alternative source, and explaining what get_cost and each stufe actually do operationally.

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?

Names a specific verb and artifact: 'Build a walkable 3D WORLD (Gaussian splat, World Labs Marble) from ONE location picture.' The output type is unambiguous and clearly separates it from siblings like lab_location_recon, lab_location_panorama or lab_restyle_location.

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?

States the two admissible input sources (location board loc_id+variante versus a gallery image quell_bild_id), tells the agent to call with get_cost:true and name the price before a real run, and routes the async flow explicitly to lab_welt_status and onward to lab_generate via seed_image_url.

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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