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screen-resume

station__ats__screen-resume external (needs EXECUTION_BACKEND_URL) ats non-pv Constructa Configa

Run the full ATS resume screening chain: format compliance → experience relevance → keyword match → gap detection → recommendation. Returns overall verdict (STRONG_MATCH, CONDITIONAL_MATCH, WEAK_MATCH, REJECT, RECONSIDER), pass probability, and prioritized fix list.

Taxonomy

Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.

Rank	Value
domain	`Substrata`
kingdom	`Constructa`
phylum	`Configa`
class	`station-config`
order	`ats`
family	`mcp-tool-config`

Characteristics:

substrate: config
domain: pv
lifecycle: continuous
authority: read
compounding: producer
io: agent-request → tool-response

Input schema

file_type_compatible booleanrequired — Whether the resume file type is ATS-compatible (.docx, .pdf)
has_standard_headers booleanrequired — Whether standard section headers exist (Experience, Education, Skills)
uses_simple_formatting booleanrequired — Whether formatting is ATS-parseable (no tables, columns, text boxes)
has_contact_info booleanrequired — Whether contact info (name, email, phone) is in plain text at top
sections_detected integerrequired — Number of distinct sections detected in the resume
matched_keywords integerrequired — Number of job description keywords found in resume
total_keywords integerrequired — Total keywords extracted from job description
direct_experience_years integer — Years of directly relevant experience
transferable_experience_years integer — Years of transferable experience from adjacent roles
required_years integer — Years of experience required by job listing
missing_hard_skills integer — Count of required hard skills not found in resume
missing_credentials integer — Count of required credentials/certifications not held

Example call

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__ats__screen-resume",
    "arguments": {
      "file_type_compatible": false,
      "has_standard_headers": false,
      "uses_simple_formatting": false,
      "has_contact_info": false,
      "sections_detected": 0,
      "matched_keywords": 0,
      "total_keywords": 0
    }
  }
}

How to invoke from a client

From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.

Agent-friendly formats

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All tools (3062 live)
/api/mcp — endpoint
/AGENTS.md — agent guide
/tools/ats__screen-resume/raw.md — this page's Markdown twin