mcp-job-radar
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_jobsC | Search trusted listing fields. Descriptions are sanitized and never interpreted. |
| rank_jobsA | Rank known jobs with a deterministic, transparent scoring policy. |
| explain_matchB | Explain the score, supporting signals, and tradeoffs for one known job. |
| export_shortlistA | Render a shortlist for the client. This tool never writes files or applies to jobs. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a distinctly different purpose: search finds jobs, rank orders known jobs, explain provides reasoning for one job, and export renders a shortlist. There is no overlap or ambiguity in their roles.
All tool names follow a consistent verb_noun pattern (export_shortlist, search_jobs, rank_jobs, explain_match), with clear action-oriented verbs and descriptive nouns. The pattern is uniform.
With 4 tools, the server is precisely scoped for a job radar workflow: search, rank, explain, and export. Each tool is essential and there is no bloat or redundancy.
The tool set covers the complete lifecycle of the domain: discovering jobs (search), evaluating them (rank), understanding results (explain), and producing output (export). No critical operations are missing for the stated purpose.