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update my notification settings

update_my_notification_settings
DestructiveIdempotent

Save notification preferences. Hosted delivery is in-app only; this does not enable push, email or notifications on this AI client. Requires your Gillby account and explicit account consent.

Units: ft, kt, s, F, mi; directions FROM. Returns data and source/freshness metadata.

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": {
      "body": "<body>"
    },
    "name": "update_my_notification_settings"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=true and openWorldHint=true, so the mutation/idempotency profile is covered. The description does add genuine context (in-app delivery only, does not enable push/email, requires account consent), but the trailing 'Units: ft, kt, s, F, mi... Returns data and source/freshness metadata' sentence appears to be copied from a conditions tool and is misleading for a settings write.

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

Conciseness2/5

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

The first three sentences are front-loaded and useful, but the fourth sentence about units and return metadata is irrelevant to this tool and adds noise without earning its place.

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 mutation tool with a nested 7-field body and no output schema, the description should explain what each preference does (quiet hours, chop thresholds, per-platform toggles). Instead it leaves all parameters undocumented and closes with boilerplate from a different tool.

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% and the body object contains seven nested properties (enabled, quietStart, quietEnd, bestWindow, lightningMi, chopThreshold, macNotifications) with no explanation anywhere. The only units hint ('ft, kt, s, F, mi') is generic boilerplate and only tangentially touches lightningMi; it does not explain the time-format or threshold semantics.

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 opening sentence 'Save notification preferences' gives a clear verb plus resource, and the sibling set makes the update-vs-get distinction easy (get_my_notification_settings exists). The second paragraph about units and returns data is uncoupled from the tool and muddies the purpose somewhat, but the first line carries the meaning.

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?

It states a precondition ('Requires your Gillby account and explicit account consent') but never says when to use this rather than get_my_notification_settings or update_my_settings, nor that a read-first pattern is expected. No alternatives or exclusions are named.

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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