list_jobs
List all transcription jobs on your account, newest first.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all transcription jobs on your account, newest first.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds useful behavior beyond annotations by specifying the ordering ('newest first'), which is not conveyed in the structured data.
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?
The description is a single, front-loaded sentence with no filler. Every word adds value: the action, the resource, the scope, and the ordering.
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?
For a no-parameter, read-only list tool with annotations describing its safety and idempotency, the description is nearly complete. It could mention the return format (e.g., an array of job objects), but the absence of an output schema and the simplicity of the operation make this a minor gap.
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 tool has zero parameters, so the schema carries no parameter semantics. Per rubric, 0 params warrants a baseline of 4. The description appropriately adds no redundant parameter information.
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 uses the specific verb 'List' with a clear resource ('transcription jobs') and scope ('on your account'), plus a meaningful detail ('newest first'). This clearly distinguishes it from sibling tools like delete_job, get_job, and submit_transcription.
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?
The description implies the use case (viewing all jobs) but does not explicitly state when to prefer this over get_job or other siblings. There are no exclusions or alternative guidance, making the usage only implicitly clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool performs a distinct lifecycle action: submit, get, list, and delete. There is no overlap in purpose, and the descriptions clearly differentiate when each should be used.
All tools follow a consistent verb_noun pattern: submit_transcription, get_job, list_jobs, delete_job. The naming is predictable and aligns with the domain.
Four tools are well-scoped for a simple transcription job management service. Each tool earns its place without unnecessary bloat or missing essentials.
The core job lifecycle is covered: create, list, retrieve, and delete. The only minor gap is the lack of a cancel operation for queued or running jobs, but the provided flow is complete for typical use.