ai-content-drop

Get board

get_canvas

Read-onlyIdempotent

Read one board in full: every card with its type, position, size and data, the edges, and the revision. Generation cards that are still rendering are checked against their jobs on every read. Shows the board as a view; a board already on screen re-reads itself every 10 seconds while a card renders and for 5 minutes after it last changed, opened or went full screen. Costs no credits. SIGN-IN REQUIRED: connect this server with OAuth (the host prompts for it), or add an API key header "Authorization: Bearer acd_live_…" created at https://aicontentdrop.com/settings/integrations.

Input Schema

Name	Required	Description	Default
`canvas_id`	Yes	The board id, from list_canvases or create_canvas.

Output Schema

Name	Required	Description	Default
`canvas`	Yes
`next_step`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedOct 8, 2026

removedOutput schema / properties / canvas / properties / updated_at

Removed value: -{
-  "type": [
-    "string",
-    "null"
-  ]
-}

changedOutput schema / properties / canvas / required

Previous value: -[
-  "id",
-  "name",
-  "revision",
-  "card_count",
-  "updated_at",
-  "link",
-  "cards",
-  "edges"
-]New value: +[
+  "id",
+  "name",
+  "revision",
+  "card_count",
+  "link",
+  "cards",
+  "edges"
+]

Changed2 schema fields changedSep 23, 2026

addedOutput schema / properties / canvas / properties / edges / items / description

Added value: +"A connection drawn from one card to the next: { id, source, target, label? }. data.role start_image means the source card's finished image is the target card's start frame."

addedOutput schema / properties / canvas / properties / edges / items / properties

Added value: +{
+  "id": {
+    "type": "string"
+  },
+  "label": {
+    "description": "Text drawn on the line, when it has one."
+  },
+  "source": {
+    "description": "The card the connection starts from.",
+    "type": "string"
+  },
+  "target": {
+    "description": "The card it leads to.",
+    "type": "string"
+  }
+}

AddedSep 11, 2026

TDQS

A4.4/5.0

Behavior5/5

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

Goes well beyond the readOnly/idempotent annotations by disclosing that generation cards are checked against their jobs on every read, that an on-screen board auto-re-reads every 10 seconds during renders and 5 minutes after changes, that the call costs no credits, and the exact OAuth/API-key auth requirement. That is substantial operational context an agent cannot get from structured fields.

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-loaded with the core read behavior and value description, followed by behavioral notes and auth. Dense but mostly earning its place; the auth block is boilerplate-heavy and slightly lengthens the entry.

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?

An output schema exists, so return values needn't be spelled out, yet the description still summarizes the payload. Combined with the auto-refresh and auth notes, an agent has everything needed to call this correctly.

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?

With 100% schema description coverage on the single canvas_id parameter, the schema already carries the meaning ('from list_canvases or create_canvas'). The description adds nothing further about the parameter, so the baseline 3 applies.

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 verb and resource ('Read one board in full') and enumerates exactly what the read returns: cards with type/position/size/data, edges, and revision. This clearly separates it from list_canvases (which enumerates boards) and from refresh_canvas.

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?

The description gives a clear context for use: reading a single board in full, with detail on how rendering generation cards are resolved on each read. It doesn't explicitly name alternatives (e.g., list_canvases for summaries, refresh_canvas for forcing a re-read), so the exclusions are left to inference.

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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