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Flythrough

flythrough_video

Flythrough video: one continuous camera move through a home from 2-4 room photos in walking order. Each pair of neighbouring photos becomes a 3-second move that flies from one room into the next, and the moves are stitched into one film with a cinematic speed ramp. Returns one job: poll get_job until the film is ready (a few minutes). Costs credits from the user's Pixly balance.

Input Schema

NameRequiredDescriptionDefault
titleNoOptional name for the tour, e.g. the street address.
formatNoFilm shape. Omit to follow the photos (landscape photos → 16:9).
photosYesThe rooms in walking order, 2 to 4 photos (e.g. hallway → living room → kitchen). Each photo should show the doorway or opening into the next room — the camera flies through it. Each item takes imageUrl or r2Path.
listingIdNoA property folder (from list_listings or create_listing) to put the result in. Results of a photo that is already in a folder go there by themselves.

Output Schema

NameRequiredDescriptionDefault
jobsNoSeveral jobs at once (get_job with jobIds, or a plan's steps): each one's jobId, status and results
noteNo
typeNo
errorNo
jobIdYesPass to get_job to poll
quoteNoPresent when status is "awaiting_confirmation": nothing ran and nothing was charged yet — the price and settings the user is asked to confirm
statusYespending | processing | completed | failed — anything not completed/failed is still running
createdAtNo
resultUrlsNoPresent when completed; valid 7 days
completedAtNo
resultPathsNoStorage path of each result — pass one as r2Path (or beforeR2Path, a photos[] item) to run another tool on this result
creditsChargedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / listingId
      Added value: +{
      +  "description": "A property folder (from list_listings or create_listing) to put the result in. Results of a photo that is already in a folder go there by themselves.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / jobs
      Added value: +{
      +  "description": "Several jobs at once (get_job with jobIds, or a plan's steps): each one's jobId, status and results",
      +  "items": {
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
  2. Changed1 schema field changed
    • addedOutput schema / properties / quote
      Added value: +{
      +  "description": "Present when status is \"awaiting_confirmation\": nothing ran and nothing was charged yet — the price and settings the user is asked to confirm",
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • addedOutput schema / properties / resultPaths
      Added value: +{
      +  "description": "Storage path of each result — pass one as r2Path (or beforeR2Path, a photos[] item) to run another tool on this result",
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
  4. Added

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already declare non-read-only, non-destructive, non-idempotent, open-world. The description adds critical operational behavior: it returns a job to poll via get_job, takes a few minutes, and consumes Pixly credits.

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?

Front-loads the output and input requirements in three tight sentences. Every sentence adds either process, workflow, or cost information; no filler.

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?

With an output schema and rich annotations, description only needs to cover the callable contract and follow-up. It supplies the async job and credit model, making the definition complete for correct invocation.

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 description coverage is 100%, so baseline is 3. The description repeats the 2-4 walking-order constraint already in the photos schema and adds no syntax or format details for title, format, or listingId.

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?

States a specific output (one continuous camera move through a home) and the input scope (2-4 room photos in walking order). The pairwise 3-second moves and stitching detail distinguish it from generic single-photo video siblings like photo_to_video or cinematic_motion.

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?

Provides clear implied context: it is for 2-4 photos in walking order and requires polling get_job afterward. However, it never names alternatives or states when not to use it (e.g., vs photo_to_video), so guidance stops at implied usage.

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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