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Set segment continuation

set_segment_continuation
Idempotent

Make a segment's image render as a continuation of an EARLIER segment's frame (same composition evolving — the storyboard's continues_from_segment, settable after the fact). continues_from is that earlier segment's number; pass 0 to clear the link. Regenerate the segment's image afterwards — the reference is applied at generation time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID, as returned by create_project or list_projects
continues_fromNo1-based number of the EARLIER segment whose frame this one continues; pass 0 to clear the link
segment_numberYes1-based number of the segment whose image should continue an earlier frame, as reported by get_segments

TDQS

A4.3/5.0
Behavior4/5

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

The description adds behavioral context beyond annotations: the reference is applied at generation time, and image must be regenerated. Annotations indicate idempotentHint=true (safe to retry) and destructiveHint=false, which aligns with the description. No contradictions.

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?

The description is a focused paragraph with all essential information, no filler. It could be slightly more structured (e.g., bullet points), but it is easily readable and front-loads the main action.

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

Completeness4/5

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

Given the tool has 3 parameters, no output schema, and annotations provide idempotentHint, the description covers the core behavior, parameter intent, and post-requisites (regenerate image). It is complete enough for an agent to use correctly.

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%, but the description adds value by explaining 'continues_from' in practical terms: '1-based number of the EARLIER segment' and 'pass 0 to clear the link'. For 'segment_number', it reiterates the 1-based nature and references 'get_segments'. This clarifies ambiguous numeric values.

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?

The description clearly states the tool's purpose: making a segment's image render as a continuation of an earlier segment's frame. It mentions key concepts like 'continues_from_segment' and 'settable after the fact', with concrete examples. This distinguishes it from sibling tools like 'split_segment' or 'combine_segments'.

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 provides explicit usage guidance: what 'continues_from' represents, how to clear the link with 0, and the need to regenerate the image afterwards. However, it does not explicitly state when not to use the tool or mention alternative tools, though the context makes its niche clear.

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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TDQS

A3.6/5.0
Disambiguation3/5

Several tool families overlap in purpose, such as await_jobs/get_workflow_status/get_pipeline_progress, update_segment_content/update_segment_prompts, director_note/project_director_note, and scan_script/rescan_voice_blocks. The descriptions do a good job distinguishing them, but an agent must read carefully to avoid misselection, and there are more than a couple of confusable pairs.

Naming Consistency4/5

The set overwhelmingly follows a verb_noun snake_case convention with clear prefixes like get_, list_, set_, update_, create_, and delete_. Minor exceptions such as director_note, project_director_note, browse_audio_library, and whoami keep it from being perfectly consistent.

Tool Count1/5

At 72 tools, this is far beyond the 50+ extreme range and creates a heavy navigation burden for an agent. Even though the pipeline is complex, this many tools is not well-scoped for an MCP surface.

Completeness4/5

The surface covers the full script-to-export pipeline: styles, assets, voices, storyboards, segments, scenes, and rendering all have substantial lifecycle support. Some gaps exist—no delete_channel, delete_segment, delete_voice_block, or delete_provider_key—but most missing operations can be worked around through existing tools.

Resources