Skip to main content
Glama
tylerart3d

MoonRay MCP

by tylerart3d

resume_from_checkpoint

Recover interrupted renders by starting a new native render job from a completed checkpoint EXR using the original job ID.

Instructions

Start a new native render job from a completed checkpoint EXR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It mentions the action and source but does not clarify side effects (e.g., whether it terminates existing jobs), permission requirements, or what happens to the checkpoint file. This is a significant gap for a tool that starts a new job.

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 single, concise sentence that front-loads the primary action. There is no fluff or redundancy, which is efficient. However, its brevity contributes to the lack of substantive guidance, so it does not earn a 5 for being optimally helpful.

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

Completeness2/5

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

Given the tool's complexity (a job-control function with a required parameter) and the absence of annotations and output schema, the description is far too sparse. It omits the meaning of job_id, any behavioral caveats, and how this fits into the broader rendering workflow. The agent cannot reliably call this tool correctly based solely on the description.

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

Parameters1/5

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

Schema coverage is 0%, and the description gives no explanation of the required 'job_id' parameter. There is no hint about its format, purpose, or how to obtain a valid value. The agent is left entirely dependent on the schema, which provides only a type and title with no semantic guidance.

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 states a specific verb ('Start'), a resource ('native render job'), and a source ('completed checkpoint EXR'). It clearly indicates starting a fresh job from a checkpoint, which distinguishes it from merely resuming an existing one (e.g., resume_render). However, it does not explicitly contrast with sibling tools like start_render, so it stops short of fully differentiating.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as resume_render, start_render, or cancel_render. The description does not mention prerequisites, scenarios, or exclusions, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tylerart3d/moonray_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server