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create_depth_map

Destructive

Turn a video (a VerseIn media URL) into a depth map video. Spends the user's coins: the price depends on the video length; calls above the confirmation threshold return needs_confirmation with a confirmation_token; ask the user, then call again with it. Returns a task id; follow it with get_tasks. Generating through an AI assistant is charged in VerseIn coins. Unlimited-plan allowances do not apply here.

Input Schema

NameRequiredDescriptionDefault
speedNofast, standard or detailed (slower is more precise)
colormapNohow depth is colored
video_urlYesthe video to turn into a depth map video — a VerseIn media URL
request_idNoyour id for this call; retrying with the same id never charges twice. Use a new id to intentionally repeat identical settings
max_total_coinsNothe most this edit may charge: send the exact most the user agreed to (the max_coins of estimate_cost, or total_cost_coins when equal). If the job could now cost more, nothing is submitted and needs_confirmation returns the new price
confirmation_tokenNothe confirmation_token a needs_confirmation answer returned, passed back once the user agreed to that price

Output Schema

NameRequiredDescriptionDefault
errorNopresent only when the call failed
tasksNo
failedNo
balanceNobalance after submitting
declinedNotrue when the user declined the confirmation form; nothing was submitted or charged
next_actionNo
total_cost_coinsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses that the call costs real coins, that price scales with video length, that high-cost calls are gated behind a confirmation token, that unlimited-plan allowances don't apply, and that the result is async (task id, follow with get_tasks). This is exactly the billing and side-effect context destructiveHint=true alone cannot convey.

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?

Front-loads the core action in the first sentence and keeps the confirmation loop tight. There is mild redundancy: 'Spends the user's coins' and 'charged in VerseIn coins' repeat the same point, and the media-URL requirement is stated twice.

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?

Given an output schema exists and the cost/confirmation mechanics are the real risk here, the description covers everything an agent needs: input format, billing model, confirmation gate, and the follow-up task-tracking step. Nothing material is left out.

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%, so video_url, speed, colormap, request_id, max_total_coins and confirmation_token are already documented in the schema. The description reinforces the confirmation_token and cost-cap interplay but adds little about speed or colormap beyond what the schema says, so baseline 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 concrete verb and resource — turn a video into a depth map video — with the required input format (VerseIn media URL) named up front. It is clearly a distinct transformation from siblings like reframe_video, relight_video and upscale_video, but it never explicitly draws that distinction, leaving the agent to infer it from the name.

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?

Explains the full call flow: if the price is above the threshold you get needs_confirmation, ask the user, then re-call with the token; it also points at estimate_cost as the source of max_coins. What's missing is explicit routing guidance (when to pick this over edit_video or generate_video), so there's clear context but no exclusions.

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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