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closermethod

B2B Buyer-Signal MCP

interpret_expansion_signal

Analyze market expansion signals such as new office openings or product launches to generate outreach implications and actionable playbooks.

Instructions

Interpret a market expansion signal (new geo, vertical, product). Returns implications and outreach playbook. Types: international_office_opening, vertical_expansion, product_launch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expansion_typeYes

Implementation Reference

  • Tool registration with input schema for interpret_expansion_signal. Defines name, description, and inputSchema requiring expansion_type from enum of EXPANSION_SIGNALS keys (international_office_opening, vertical_expansion, product_launch).
    {
      name: "interpret_expansion_signal",
      description: "Interpret a market expansion signal (new geo, vertical, product). Returns implications and outreach playbook. Types: international_office_opening, vertical_expansion, product_launch.",
      inputSchema: {
        type: "object",
        properties: { expansion_type: { type: "string", enum: Object.keys(EXPANSION_SIGNALS) } },
        required: ["expansion_type"]
      }
  • Handler logic for interpret_expansion_signal. Looks up args.expansion_type in the EXPANSION_SIGNALS map and returns the structured data (signal_strength, interpretation, outreach_timing, pitch_angle, common_pitfalls, average_decision_window) plus _meta. Returns error if expansion_type is unknown.
    if (name === "interpret_expansion_signal") {
      const data = EXPANSION_SIGNALS[(args as any).expansion_type];
      if (!data) return { content: [{ type: "text", text: JSON.stringify({ error: "Unknown expansion_type. See enum.", _meta: MCP_META }, null, 2) }] };
      return { content: [{ type: "text", text: JSON.stringify({ expansion_type: (args as any).expansion_type, ...data, _meta: MCP_META }, null, 2) }] };
    }
  • EXPANSION_SIGNALS data definition — the lookup map containing structured interpretation data for each expansion signal type: international_office_opening, vertical_expansion, and product_launch. Each entry has signal_strength, interpretation, outreach_timing, pitch_angle, common_pitfalls, and average_decision_window.
    const EXPANSION_SIGNALS: Record<string, any> = {
      "international_office_opening": {
        signal_strength: "Very High",
        interpretation: "New geo expansion. Localized tooling needs immediately: country compliance, language support, payment infrastructure, in-country payroll/EOR.",
        outreach_timing: "Within 30 days of announcement",
        pitch_angle: "Country-specific compliance, language support, in-region case studies",
        common_pitfalls: ["Generic international pitch", "Not naming specific country regulatory environment"],
        average_decision_window: "30-90 days (urgency is real)"
      },
      "vertical_expansion": {
        signal_strength: "Medium-High",
        interpretation: "Moving into new industry vertical. New compliance requirements, vertical-specific case studies needed. New buyer personas.",
        outreach_timing: "30-90 days",
        pitch_angle: "Vertical-specific compliance, industry case studies, partner ecosystem in new vertical",
        common_pitfalls: ["Treating new-vertical buyers like existing-vertical buyers (they have different language)"],
        average_decision_window: "60-180 days"
      },
      "product_launch": {
        signal_strength: "Medium",
        interpretation: "New product category for the company. New revenue motion. Often new GTM team builds out — tooling decisions parallel to product launch.",
        outreach_timing: "30-90 days post-launch",
        pitch_angle: "GTM enablement for new product line, peer launch case studies",
        common_pitfalls: ["Pitching general tools when they need product-launch-specific support"],
        average_decision_window: "60-180 days"
      }
    };
  • src/main.ts:321-389 (registration)
    The ListToolsRequestSchema handler that registers all tools, including interpret_expansion_signal (line 359-367) as part of the tools array.
    server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [
        {
          name: "interpret_hiring_signal",
          description: "Interpret a hiring signal (new exec hire, team expansion, role posting). Returns signal strength, outreach timing, pitch angle, common pitfalls, average decision window. Provide signal_type from: head_of_sales, head_of_revenue, head_of_security, vp_marketing, sdr_team_expansion, head_of_data.",
          inputSchema: {
            type: "object",
            properties: { signal_type: { type: "string", enum: Object.keys(HIRING_SIGNALS) } },
            required: ["signal_type"]
          }
        },
        {
          name: "interpret_funding_signal",
          description: "Interpret a funding-event signal. Returns interpretation, budget band, typical buyers, outreach timing, pitfalls. Stages: seed, series_a, series_b, series_c_plus, ipo_recent, down_round.",
          inputSchema: {
            type: "object",
            properties: { funding_stage: { type: "string", enum: Object.keys(FUNDING_SIGNALS) } },
            required: ["funding_stage"]
          }
        },
        {
          name: "interpret_tech_stack_change",
          description: "Interpret a tech-stack change signal. Returns interpretation, outreach timing, pitch angle, decision window. Types: added_competitor, removed_competitor, added_warehouse, added_compliance_tool, removed_legacy_crm.",
          inputSchema: {
            type: "object",
            properties: { change_type: { type: "string", enum: Object.keys(TECH_STACK_SIGNALS) } },
            required: ["change_type"]
          }
        },
        {
          name: "interpret_leadership_change",
          description: "Interpret a leadership-change signal. Returns interpretation, outreach timing, pitch angle. Types: ceo_change, cfo_change, cto_change, cmo_change, founder_departure.",
          inputSchema: {
            type: "object",
            properties: { change_type: { type: "string", enum: Object.keys(LEADERSHIP_SIGNALS) } },
            required: ["change_type"]
          }
        },
        {
          name: "interpret_expansion_signal",
          description: "Interpret a market expansion signal (new geo, vertical, product). Returns implications and outreach playbook. Types: international_office_opening, vertical_expansion, product_launch.",
          inputSchema: {
            type: "object",
            properties: { expansion_type: { type: "string", enum: Object.keys(EXPANSION_SIGNALS) } },
            required: ["expansion_type"]
          }
        },
        {
          name: "score_buyer_intent",
          description: "Given a list of signals observed for a target account, return a composite intent score (0-100) and recommended outreach action. Use this to prioritize an account list.",
          inputSchema: {
            type: "object",
            properties: {
              signals: {
                type: "array",
                items: { type: "string", enum: Object.keys(SIGNAL_WEIGHTS) },
                description: "Array of signal keys observed for this account"
              }
            },
            required: ["signals"]
          }
        },
        {
          name: "get_full_pack",
          description: "Returns the complete signal-interpretation library + metadata. Useful for fine-tuning or full agent context.",
          inputSchema: { type: "object", properties: {} }
        }
      ]
    }));
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions returning 'implications and outreach playbook' but does not clarify side effects, required permissions, or whether the operation is read-only. The lack of detail beyond the return type leaves the agent uncertain about invocation behavior.

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 concise with two sentences, front-loading the purpose and listing inputs. No redundant information; every sentence serves a clear function.

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

Completeness2/5

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

Given the simple schema (one enum parameter) and no output schema, the description should fully explain the tool's behavior and output format. However, it vaguely mentions 'implications and outreach playbook' without detailing the structure or format of the return value, leaving the agent without complete context.

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

Parameters2/5

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

With 0% schema description coverage, the description should compensate by explaining the parameter. It only repeats the enum values already in the schema without adding meaning (e.g., definitions of each expansion type). The parameter name 'expansion_type' is self-explanatory, but the description adds minimal semantic value beyond the schema.

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

Purpose5/5

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

The description clearly states the tool's function: interpreting a market expansion signal and returning implications and an outreach playbook. It lists the three specific types, making it distinct from sibling tools like interpret_funding_signal or interpret_hiring_signal, which handle different signal categories.

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

Usage Guidelines3/5

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

The description implies usage for expansion signals (international office opening, vertical expansion, product launch) but does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or prerequisites. While the sibling list offers context, the description lacks direct guidance.

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

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