get_job_allocations
List all allocations for a Nomad job using its ID and optional namespace to inspect where tasks are running.
Instructions
List allocations belonging to a job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| namespace | No |
List all allocations for a Nomad job using its ID and optional namespace to inspect where tasks are running.
List allocations belonging to a job.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| namespace | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description must disclose behavior. It only restates the basic function without mentioning return shape, error handling, or side effects. For a read-only list, this is minimal coverage.
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 concise sentence, free of fluff and front-loaded. However, it omits necessary parameter context, making it slightly under-specified, but structurally efficient.
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 a 2-parameter tool with no schema descriptions, no output schema, and no annotations, this description leaves significant gaps around parameter semantics and usage. It is adequate for purpose but not fully contextual.
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%, and the description does not explain the 'id' or 'namespace' parameters. It is unclear whether 'id' refers to the job ID, and 'namespace' is entirely unexplained.
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 action ('List') and resource ('allocations') scoped by 'belonging to a job.' This distinguishes it from singular 'get_allocation' and other list_* tools.
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 usage when you need allocations for a specific job, but it does not explicitly mention alternatives or exclusions. Sibling tools like 'get_allocation' could serve as alternatives for single allocation, but no guidance is provided.
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/udaisingh93/nomad-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server