job_result
Retrieve the output of a completed Lightroom Classic job using its job ID.
Instructions
Get the result for a completed Lightroom Classic job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Retrieve the output of a completed Lightroom Classic job using its job ID.
Get the result for a completed Lightroom Classic job.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description lacks behavioral details such as what happens if the job is not completed, authorization requirements, or rate limits. It only states it's a 'get' operation without elaboration.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single concise sentence, but it is too brief to be fully informative. No wasted words, but under-specification reduces effectiveness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and simple input, the description should explain return values, error conditions, and usage context. It lacks these details, making it incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The sole parameter job_id has 0% schema description coverage, and the tool description does not explain its meaning, format, or constraints. The description adds no value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the action (get) and resource (result for a completed Lightroom Classic job). It distinguishes from siblings like job_status and job_error, though it could be more explicit about the 'completed' qualifier.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like job_status or job_error. No mention of prerequisites (e.g., job must be completed) or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/yopiesuryadi/lightroom-classic-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server