Class: RailVerdict::MCP::Tools::Investigate

Inherits:
Object
  • Object
show all
Defined in:
lib/rail_verdict/mcp/tools/investigate.rb

Instance Method Summary collapse

Constructor Details

#initialize(server:) ⇒ Investigate

Returns a new instance of Investigate.



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 7

def initialize(server:)
  @server = server
end

Instance Method Details

#call(limit: nil, preview: nil, **_rest) ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 49

def call(limit: nil, preview: nil, **_rest)
  begin
    limit_v = limit.nil? ? 3 : limit
    unless limit_v.is_a?(Integer) && limit_v.between?(1, 3)
      raise ArgumentError, "limit must be an integer between 1 and 3"
    end
    preview_v = preview == true

    outcome = @server.cache.fetch_outcome
    unless outcome
      outcome = Check.execute(repository_root: @server.repository_root, config_path: File.join(@server.repository_root, ".railverdict.yml"))
      @server.cache.store_outcome(outcome)
    end

    if preview_v
      findings = Intelligence::Budget.select_findings(outcome.findings || [], limit: limit_v)
      manifests = findings.map do |f|
        Intelligence::ContextBuilder.build(outcome: outcome, finding_ref: f.id).to_json_hash
      rescue StandardError => e
        { "finding_id" => f.id, "error" => e.message }
      end
      structured = { "preview" => true, "manifests" => manifests }
      structured = Serializers.scrub(structured)
      return Serializers.tool_response(structured, error: false)
    end

    unless ai_enabled?(outcome.configuration)
      return Serializers.error_response("AI is off — set ai.enabled=true and ai.remote.enabled=true in .railverdict.yml", code: "ai_disabled")
    end

    results = Intelligence::Orchestrator.investigate(outcome: outcome, configuration: outcome.configuration, limit: limit_v)
    payload = results.map do |r|
      if r[:failure]
        { "failure" => r[:failure].to_h, "analysis" => nil }
      else
        { "failure" => nil, "analysis" => r[:analysis]&.to_h }
      end
    end
    structured = { "results" => payload }
    structured = Serializers.scrub(structured)
    Serializers.tool_response(structured, error: false)
  rescue ArgumentError => e
    Serializers.error_response(e.message, code: "invalid_arguments")
  rescue StandardError => e
    Serializers.error_response("investigate failed: #{e.message}", code: "internal_error")
  end
end

#tool_annotations ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 45

def tool_annotations
  { read_only_hint: true, destructive_hint: false, idempotent_hint: true, open_world_hint: false, title: tool_title }
end

#tool_description ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 19

def tool_description
  "Advisory AI — requires ai.enabled and ai.remote.enabled. Investigate up to 3 findings. Use preview to inspect manifests without network. Budgets enforced before provider. AI never changes gate."
end

#tool_input_schema ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 23

def tool_input_schema
  {
    type: "object",
    properties: {
      limit: { type: "integer", description: "Max findings to investigate (1..3, default 3)" },
      preview: { type: "boolean", description: "If true, return manifests only (no provider calls)" }
    },
    additionalProperties: false
  }
end

#tool_name ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 11

def tool_name
  "investigate"
end

#tool_output_schema ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 34

def tool_output_schema
  {
    type: "object",
    properties: {
      preview: { type: "boolean" },
      manifests: { type: "array" },
      results: { type: "array" }
    }
  }
end

#tool_title ⇒ Object 



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# File 'lib/rail_verdict/mcp/tools/investigate.rb', line 15

def tool_title
  "Investigate findings (advisory AI)"
end