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confirm_chat_notification_receipt

Destructive

AccountHub shared project and direct chat notification receipt: record only the signed-in person's explicit confirmation for their own delivery. This is a human self-report, not proof of an AI reading or acting. Never confirm automatically on notification receipt.

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": {
      "delivery_id": "<delivery_id>"
    },
    "name": "confirm_chat_notification_receipt"
  }
}

Input Schema

NameRequiredDescriptionDefault
delivery_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations supply only destructiveHint=true; the description adds real semantic context by framing the action as a human self-report rather than proof of AI reading, and forbids automatic firing. However, it never explains why a receipt confirmation carries destructiveHint, whether repeat calls are idempotent, or what state changes on confirm — gaps an agent would care about for a flagged-destructive tool.

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?

Three tight sentences, front-loaded with the resource scope before the constraint. Every sentence carries a distinct rule; nothing is redundant, though the opening clause is dense enough to require a second read.

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

Completeness3/5

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

For a one-parameter mutation tool with no output schema, the description covers intent and the no-auto-confirm rule but omits return behavior, how to source delivery_id, and the meaning of the destructive flag. Adequate to select the tool, thin for invoking it correctly.

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 single parameter 'delivery_id' is documented nowhere but its UUID pattern. The description does not say where a delivery_id comes from (a notification payload? a prior read_chat call?) or whether any other identifier form is accepted, so it fails to compensate for the coverage gap.

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?

Names a specific verb+resource pair ('confirm' + 'chat notification receipt') and scopes it to AccountHub shared project and direct chat notifications, so the effect is unambiguous. It does not explicitly differentiate itself from the sibling confirm_chat_notification_test or ack_shared_notice, leaving the agent to infer which confirm/ack variant applies.

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

Usage Guidelines4/5

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

Gives an explicit condition of use ('record only the signed-in person's explicit confirmation for their own delivery') plus a hard exclusion ('Never confirm automatically on notification receipt'). Strong when/when-not guidance, though it never names the sibling alternative (e.g. confirm_chat_notification_test) that an agent should pick in other cases.

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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