Server definition

Hash: sha256:767294a47b1aae86bfe74b88ddc333287a2731bc9109731109724d7128f1ca1e
What it is: What a remote MCP server returned when asked what it offers: 6 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Solve for the input value required to make an output metric hit a target value (deterministic bisection root-finding). Provide 'template', 'solve_for' (the input to solve), 'target_metric' (defaults to the primary output), and 'target_value'. Optionally pass 'bounds' [low, high] to constrain the search. Returns the required input value, the change from baseline, the achieved metric, and the residual. Assumes the metric is monotonic in the solved input over the range.",
      "inputSchema": {
        "properties": {
          "bounds": {
            "description": "Optional [low, high] search range for the solved input. Auto-derived + expanded if omitted.",
            "items": {
              "type": "number"
            },
            "type": "array"
          },
          "horizon": {
            "default": 12,
            "description": "Number of periods to project forward (1..1200). Default depends on template (usually 12).",
            "type": "integer"
          },
          "inputs": {
            "description": "Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.",
            "type": "object"
          },
          "period_label": {
            "default": "month",
            "description": "Label for each period; also sets annualization (periods/year).",
            "enum": [
              "day",
              "week",
              "month",
              "quarter",
              "year"
            ],
            "type": "string"
          },
          "solve_for": {
            "description": "Name of the input variable to solve for.",
            "type": "string"
          },
          "target_metric": {
            "description": "Output metric to hit (defaults to the template's primary output).",
            "type": "string"
          },
          "target_value": {
            "description": "The value the target_metric should reach.",
            "type": "number"
          },
          "template": {
            "description": "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection.",
            "type": "string"
          }
        },
        "required": [
          "template",
          "solve_for",
          "target_value"
        ],
        "type": "object"
      },
      "name": "break_even",
      "outputSchema": null
    },
    {
      "description": "Run 2-3 scenarios and compare their key_results side by side, with deltas against the first (baseline) scenario. Provide a 'scenarios' array where each entry is {name?, template, inputs} (each may set its own horizon, or pass a shared top-level 'horizon'). Optionally rank on 'compare_metric' with 'goal' ('max' default | 'min') to pick a winner, and set include_projections:true to also return per-period series.",
      "inputSchema": {
        "properties": {
          "compare_metric": {
            "description": "Metric to rank scenarios on (optional).",
            "type": "string"
          },
          "goal": {
            "default": "max",
            "description": "Whether higher (max) or lower (min) is better for compare_metric.",
            "enum": [
              "max",
              "min"
            ],
            "type": "string"
          },
          "horizon": {
            "description": "Optional shared horizon applied to scenarios that don't set their own.",
            "type": "integer"
          },
          "include_projections": {
            "default": false,
            "description": "Include each scenario's full per-period projections.",
            "type": "boolean"
          },
          "scenarios": {
            "description": "2-3 scenarios to compare. Each: {name?, template, inputs, horizon?, period_label?} or {name?, metrics:[...]} for a custom model.",
            "items": {
              "properties": {
                "horizon": {
                  "default": 12,
                  "description": "Number of periods to project forward (1..1200). Default depends on template (usually 12).",
                  "type": "integer"
                },
                "inputs": {
                  "description": "Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.",
                  "type": "object"
                },
                "metrics": {
                  "description": "For a CUSTOM free-form scenario (template omitted or 'custom'): a list of independently-growing metrics. Each: {name, start, growth_rate (per period, default 0), mode: 'compound' (default) | 'linear'}.",
                  "items": {
                    "properties": {
                      "growth_rate": {
                        "type": "number"
                      },
                      "mode": {
                        "default": "compound",
                        "enum": [
                          "compound",
                          "linear"
                        ],
                        "type": "string"
                      },
                      "name": {
                        "type": "string"
                      },
                      "start": {
                        "type": "number"
                      }
                    },
                    "required": [
                      "name",
                      "start"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "name": {
                  "type": "string"
                },
                "period_label": {
                  "default": "month",
                  "description": "Label for each period; also sets annualization (periods/year).",
                  "enum": [
                    "day",
                    "week",
                    "month",
                    "quarter",
                    "year"
                  ],
                  "type": "string"
                },
                "template": {
                  "description": "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection.",
                  "type": "string"
                }
              },
              "type": "object"
            },
            "type": "array"
          }
        },
        "required": [
          "scenarios"
        ],
        "type": "object"
      },
      "name": "compare_scenarios",
      "outputSchema": null
    },
    {
      "description": "Server health, version, and capabilities (tools, templates, period labels, max horizon). No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "health_check",
      "outputSchema": null
    },
    {
      "description": "Discovery tool: list every pre-built scenario template (id, label, category, description, primary output, documented inputs with defaults/units, and available output metrics), plus how to run a custom free-form scenario and the supported period labels. No required parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_templates",
      "outputSchema": null
    },
    {
      "description": "Main simulation tool. Run a deterministic what-if projection from a pre-built template (saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth) OR a free-form 'metrics' model. Returns period-by-period projections, headline key_results, the exact assumptions used (with defaults filled in), the methodology, notes, and a plain-language explanation. Pass 'template' + 'inputs' (assumptions), plus optional 'horizon' and 'period_label'. 100% deterministic (40-digit decimal math).",
      "inputSchema": {
        "properties": {
          "horizon": {
            "default": 12,
            "description": "Number of periods to project forward (1..1200). Default depends on template (usually 12).",
            "type": "integer"
          },
          "inputs": {
            "description": "Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.",
            "type": "object"
          },
          "metrics": {
            "description": "For a CUSTOM free-form scenario (template omitted or 'custom'): a list of independently-growing metrics. Each: {name, start, growth_rate (per period, default 0), mode: 'compound' (default) | 'linear'}.",
            "items": {
              "properties": {
                "growth_rate": {
                  "type": "number"
                },
                "mode": {
                  "default": "compound",
                  "enum": [
                    "compound",
                    "linear"
                  ],
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "start": {
                  "type": "number"
                }
              },
              "required": [
                "name",
                "start"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "period_label": {
            "default": "month",
            "description": "Label for each period; also sets annualization (periods/year).",
            "enum": [
              "day",
              "week",
              "month",
              "quarter",
              "year"
            ],
            "type": "string"
          },
          "template": {
            "description": "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "run_scenario",
      "outputSchema": null
    },
    {
      "description": "Vary one or more input assumptions and show the impact on a target output metric (one-at-a-time sensitivity). Provide 'template', the input to sweep via 'variable' (or 'variables' array), and 'target_metric' (defaults to the template's primary output). Control the sweep with 'variation' (fractional +/- around the baseline, default 0.2), 'steps' (default 5), or explicit 'values' / 'min'+'max'. Returns per-variable sweeps, an elasticity estimate, the output range, and a ranking of the most influential inputs.",
      "inputSchema": {
        "properties": {
          "horizon": {
            "default": 12,
            "description": "Number of periods to project forward (1..1200). Default depends on template (usually 12).",
            "type": "integer"
          },
          "inputs": {
            "description": "Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.",
            "type": "object"
          },
          "max": {
            "description": "Sweep upper bound (with 'min').",
            "type": "number"
          },
          "min": {
            "description": "Sweep lower bound (with 'max').",
            "type": "number"
          },
          "period_label": {
            "default": "month",
            "description": "Label for each period; also sets annualization (periods/year).",
            "enum": [
              "day",
              "week",
              "month",
              "quarter",
              "year"
            ],
            "type": "string"
          },
          "steps": {
            "default": 5,
            "description": "Number of sweep points per variable (2-200).",
            "type": "integer"
          },
          "target_metric": {
            "description": "Output metric to track (see a template's 'outputs' via list_templates). Defaults to the template's primary output.",
            "type": "string"
          },
          "template": {
            "description": "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection.",
            "type": "string"
          },
          "values": {
            "description": "Explicit sweep values for a single 'variable'.",
            "items": {
              "type": "number"
            },
            "type": "array"
          },
          "variable": {
            "description": "A single input name to sweep.",
            "type": "string"
          },
          "variables": {
            "description": "Multiple inputs to sweep (one at a time). Each: {name, variation?|values?|min?+max?, steps?}.",
            "items": {
              "properties": {
                "max": {
                  "type": "number"
                },
                "min": {
                  "type": "number"
                },
                "name": {
                  "type": "string"
                },
                "steps": {
                  "type": "integer"
                },
                "values": {
                  "items": {
                    "type": "number"
                  },
                  "type": "array"
                },
                "variation": {
                  "type": "number"
                }
              },
              "required": [
                "name"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "variation": {
            "default": 0.2,
            "description": "Fractional sweep around the baseline (0<v<=1). 0.2 = +/-20%.",
            "type": "number"
          }
        },
        "required": [
          "template"
        ],
        "type": "object"
      },
      "name": "sensitivity_analysis",
      "outputSchema": null
    }
  ]
}

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