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Privi Agent Survival & Premium

Customer support response SLA

privi_pro_support_sla
Read-only

Calculate whether a first response met the assigned response window. 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": {
      "opened_at": "<opened_at>",
      "first_response_at": "<first_response_at>",
      "target_minutes": "<target_minutes>"
    },
    "name": "privi_pro_support_sla"
  }
}

Input Schema

NameRequiredDescriptionDefault
opened_atYes
target_minutesYes
first_response_atYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 non-obvious context that isn't in the structured fields — it is a paid operation costing 5 prepaid credits and requiring production billing — which is valuable operational information. It does not, however, say what the calculation returns or how edge cases (missing first response, timezone) behave.

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 caveat clearly separated. Nothing is wasted, though the paid-only clause could be condensed into a single tag-like fragment.

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?

With no output schema, the description should state what the result looks like (a boolean met/missed, a delta, a status string) and the expected timestamp encoding. Neither is present, and all three parameters are undocumented, leaving real ambiguity for a calculation tool whose correctness depends on input format.

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 and largely fails: it never explains the timestamp format or timezone expectations for opened_at and first_response_at, nor the unit (minutes) and interpretation of target_minutes. Only loose lexical overlap ('first response', 'response window') hints at the mapping.

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 states a specific verb and outcome ('Calculate whether a first response met the assigned response window'), which is concrete enough to separate it from siblings like privi_pro_response_status_mix. It doesn't explicitly name an alternative, but the operation itself is unambiguous.

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

Usage Guidelines2/5

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

There is no guidance on when to reach for this tool versus a related SLA/response tool, and no stated prerequisites such as needing an assigned target or a completed first response. The agent must infer the calling context entirely from the name and required parameters.

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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