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YihonW

mcp-c4d-2025

by YihonW

Cancel or Resume Redshift Sequence

rs_sequence_control

Cancel pending Redshift sequence frames after the current frame finishes, or resume a cleanly cancelled job in the same session; resumes verify completed-file hashes and avoid overwriting output.

Instructions

Cancel stops scheduling after the in-flight frame finishes; it does not abort a C4D render. Resume is allowed only after clean cancellation in this same MCP session, verifies completed-file hashes, and never overwrites. Do not resume after modifying the scene. Failed or uncertain jobs require inspection; their output files remain intact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
job_idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.0

TDQS

A4.1/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that cancel is non-aborting, that resume hash-verifies completed files and never overwrites, and that failed jobs' outputs remain intact. This is rich side-effect and safety context beyond what the schema offers.

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?

Three dense sentences, each adding a distinct layer: cancel behavior, resume preconditions, and failure handling. There is no filler, no repetition of schema fields, and the most important safety caveats are front-loaded.

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?

For a stateful control tool with no annotations and no output schema, the description covers the key constraints and side effects well. It falls short only by not stating return/error behavior or the source of job_id, though those are partially inferable from the schema enums and sibling tool names.

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 0%, so the description must compensate for both parameters. Cancel and resume semantics are clearly explained and map well onto the action enum. However, job_id is only implicitly described through phrases like 'same MCP session' and 'completed-file hashes'; the description never states where job_id comes from or how it identifies a sequence render.

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 description opens with concrete behavioral statements: cancel stops scheduling after the in-flight frame, resume is conditional. It clearly distinguishes cancel from aborting a C4D render, which makes the tool's purpose specific. However, it never names a sibling like rs_sequence_status or rs_rer_sequence, so the agent must infer tool boundaries from title/name rather than explicit contrast.

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 clear when/when-not conditions: resume only after clean cancellation in the same session, never after scene modification, and failed or uncertain jobs require inspection. These are genuinely useful routing constraints. It does not explicitly point to alternative tools for inspection or for starting a new sequence, leaving some routing implicit.

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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