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Wait for jobs

await_jobs
Read-onlyIdempotent

Block (server-side) until the scope has no pending/running jobs, or the timeout passes — use this instead of polling get_workflow_status yourself. Returns {done, jobs}. If done=false the work is still running: just call await_jobs again (a 3-5 minute storyboard takes a few consecutive calls). Keep timeout_seconds <= 50 so the client doesn't time out the tool call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
style_idNoStyle ID whose analysis/template jobs to wait for; pass exactly one of project_id or style_id
project_idNoProject ID whose jobs to wait for; pass exactly one of project_id or style_id
timeout_secondsNoMax seconds to block server-side before returning done=false; keep <= 50 so the client doesn't time out the tool call

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already mark the tool as read-only and idempotent. The description adds critical behavioral context: server-side blocking, repeated calls needed, and return structure {done, jobs}. No contradiction with annotations.

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?

Extremely concise: three sentences, each with a clear purpose. Front-loaded with the main blocking behavior, then usage notes. No wasted words.

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?

Despite no output schema, the description mentions the return shape {done, jobs}. Given the tool's simplicity and ample annotations, this is fully complete for agent use.

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%, and the description reinforces key parameter constraints: mutual exclusivity of style_id and project_id, and timeout_seconds <=50. Adds meaning beyond schema.

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 that the tool blocks until no pending/running jobs or a timeout occurs. It distinguishes itself from polling get_workflow_status, making the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use (instead of polling), when to call again (if done=false), and provides a timeout constraint (<=50s) to avoid client timeout, giving clear usage guidance.

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