job_error
Retrieve the error message for a failed Lightroom Classic job to diagnose and resolve issues.
Instructions
Get the error message for a failed Lightroom Classic job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Retrieve the error message for a failed Lightroom Classic job to diagnose and resolve issues.
Get the error message for a failed Lightroom Classic job.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It minimally states it returns an error message for a failed job, but does not disclose behavior for non-failed jobs, return format, or authentication requirements.
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?
One concise sentence, front-loaded with purpose, but could include more useful details without adding verbosity.
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?
With no output schema and minimal description, the tool lacks completeness about what is returned or how to interpret the error message. Siblings are listed but not differentiated.
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?
Schema description coverage is 0% for the single parameter job_id. The description does not add meaning beyond the parameter name, such as format or constraints.
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?
The description clearly states the verb 'Get' and the resource 'error message for a failed Lightroom Classic job', distinguishing it from sibling tools like job_status or list_jobs.
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, such as only after checking job_status or job_result, or that it is only applicable for failed jobs.
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