Skip to main content
Glama

get_profile

Retrieve your complete user profile with personal information, skills, work experience, and employment history for job applications.

Instructions

Get your user profile including personal info, skills, experience, and work history

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The get_profile MCP tool is registered and implemented within the server.tool() call, which uses the JobGPTApiClient to fetch and transform profile data for the user.
    server.tool(
      'get_profile',
      'Get your user profile including personal info, skills, experience, and work history',
      {},
      async () => {
        const profile = await client.getProfile();
        const result = {
          id: profile.id,
          email: profile.email,
          name: profile.fullName,
          headline: profile.headline,
          location: profile.location,
          yearsOfExperience: profile.experience,
          skills: profile.skills,
          hasResume: !!profile.resumeFileName,
          resumeFileName: profile.resumeFileName,
          workHistory: (profile.company || []).map(c => ({
            company: c.name,
            title: c.title,
            startDate: c.start,
            endDate: c.end,
            current: c.current,
            location: c.location,
          })),
          education: (profile.school || []).map(s => ({
            school: s.name,
            degree: s.degree,
            fieldOfStudy: s.specialization,
            graduationYear: s.year,
          })),
        };
        return { content: [{ type: 'text' as const, text: JSON.stringify(result, null, 2) }] };
      }
    );
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only operation ('Get') but doesn't specify authentication requirements, rate limits, error conditions, or what happens if no profile exists. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose and lists included data types without unnecessary details. Every word earns its place, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but minimal. It explains what data is retrieved but lacks details on format, authentication, or error handling. For a read-only tool with no structured support, this is the minimum viable—clear gaps exist in behavioral context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the data returned. This meets the baseline for tools with no parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('your user profile'), and lists the types of information included (personal info, skills, experience, work history). However, it doesn't explicitly distinguish this tool from sibling tools like 'get_resume' or 'update_profile', which might retrieve or modify similar data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for usage, or compare it to siblings like 'get_resume' or 'update_profile', leaving the agent to infer usage scenarios based on the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/6figr-com/job-gpt-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server