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Canvas Attach Scene Continuation

aimixer_canvas_attach_scene_continuation
Idempotent

Explicit WRITE of an owned finished scene's last frame and CAS graph connection to the following idle scene's verified first_frame slot. No payment or provider submit; unavailable modes/conflicting inputs fail closed; same request_id replays the exact edit.

Input Schema

NameRequiredDescriptionDefault
project_idYes
request_idYes
expected_revYes
source_scene_idYes
target_scene_idYes
source_result_indexNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Beyond the annotations it discloses meaningful behavior: 'unavailable modes/conflicting inputs fail closed' (failure semantics) and 'same request_id replays the exact edit' (corroborating the idempotentHint with concrete replay semantics). It also clarifies that no payment/provider submit occurs, which is important for an agent reasoning about side effects on a WRITE tool.

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?

Two tight sentences with the key fact ('Explicit WRITE') front-loaded, followed by scope exclusions and failure/idempotency behavior. No filler, though the phrasing is compressed enough that it verges on jargon-dense.

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

Completeness3/5

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

For a mutation tool with no output schema and 5 required parameters, it covers scope, failure mode, and idempotency but omits what the call returns and the meaning of expected_rev and source_result_index, leaving an agent to infer concurrency and indexing semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only covers request_id replay semantics and is silent on project_id, source_scene_id, target_scene_id, expected_rev (clearly an optimistic-concurrency revision), and source_result_index. This leaves most of the 6 parameters undocumented.

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?

The verb and resource are specific: it explicitly writes the last frame of a finished source scene plus a CAS graph connection into the target scene's first_frame slot. It is distinguishable from neighbours like materialize_last_frame or canvas_apply, though the dense jargon (CAS graph, verified first_frame slot) demands domain familiarity.

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?

It carves out scope with 'No payment or provider submit' and explains request_id replay, which helps an agent understand this is a graph-edit-only operation. However, it never names an alternative tool or states when to use this rather than materialize_last_frame, canvas_apply, or canvas_update_node.

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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