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Privi Agent Survival & Premium

Subscriber churn scenario

privi_pro_churn_sensitivity
Read-only

Simulate retained accounts after a given monthly churn rate. PAID ONLY: 5 prepaid credits; production billing required.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "customers": "<customers>",
      "monthly_churn_pct": "<monthly_churn_pct>",
      "months": "<months>"
    },
    "name": "privi_pro_churn_sensitivity"
  }
}

Input Schema

NameRequiredDescriptionDefault
monthsYes
customersYes
monthly_churn_pctYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful non-schema behavior: it is a paid tool costing 5 prepaid credits and requiring production billing, which is exactly the kind of operational constraint an agent needs before invoking. It stops short of disclosing determinism, output shape, or what happens on insufficient credits.

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

Conciseness4/5

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

Two tight sentences with the core operation front-loaded and the billing constraint second; nothing is redundant. The brevity is efficient but edges toward under-specification given the three undocumented parameters.

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?

For a 3-parameter tool with zero schema description coverage, no output schema, and a numeric model whose inputs need units and bounds, the description omits critical detail. An agent cannot reliably construct valid arguments or anticipate the response from this text alone.

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?

Schema description coverage is 0%, so the description carries the full burden, yet it only alludes to monthly_churn_pct and leaves 'customers' and 'months' entirely unmentioned. No units (percent as 0-100 or 0-1?), no ranges, no explanation of whether 'months' is a projection horizon - all left ambiguous for a 3-required-parameter tool.

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 names a specific verb ('Simulate') and a concrete resource ('retained accounts') qualified by an input ('given monthly churn rate'), so an agent knows it produces a churn projection rather than, say, a fee estimate or a data-quality check. It does not explicitly contrast itself with siblings such as privi_pro_stripe_fee_scenario, so it falls short of full differentiation.

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?

Usage is only implied through the phrase 'Simulate retained accounts after a given monthly churn rate' - an agent can infer this is for churn/retention what-if modeling. There is no statement of when to prefer this over alternative scenario tools, no prerequisites beyond billing, and no guidance on input ranges or interpretation of results.

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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