JobGPT MCP Server
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TDQS
Scored across 35 tools
The tools have clear purposes individually, but there is notable overlap that could cause confusion. For example, get_application and get_job both retrieve job details but for different contexts (application vs listing), and get_job_recruiters/get_application_recruiters are similarly differentiated by context. Tools like list_applications and get_application_stats provide overlapping data on applications, though descriptions clarify their distinct use cases.
Tool names follow a highly consistent verb_noun pattern throughout, with clear actions like get, list, update, create, delete, etc. All names use snake_case uniformly, making them predictable and easy to parse. Minor variations like import_job_by_url still adhere to the overall convention.
With 35 tools, the count is excessive for the domain of job hunting and applications. Many tools could be consolidated or omitted without losing functionality, such as separating get_application_recruiters and get_job_recruiters. This large set may overwhelm agents and increase complexity unnecessarily.
The tool set provides comprehensive coverage for the job hunting domain, including CRUD operations for applications, job hunts, resumes, and profiles, plus advanced features like auto-apply, outreach, and AI-generated resumes. There are no obvious gaps; agents can manage the entire job search lifecycle from discovery to follow-up.