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kernel_dashboard_morning

Generate a daily morning briefing of today’s tasks, overdue items, upcoming deadlines, and contacts needing follow-up to help you plan the day.

Instructions

Morning briefing: today's tasks, overdue items, upcoming deadlines, contacts needing follow-up. Your daily overview.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "kernel_dashboard_morning"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries full behavioral burden. It does disclose what the briefing aggregates across four categories, which implies a read-only aggregation, but it never confirms that nothing is mutated, nor does it describe the response shape, personalization, or any permission requirements.

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

Conciseness5/5

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

Two short sentences, front-loaded with the content inventory before a one-line summary. 'Your daily overview' is mildly redundant with 'Morning briefing' but earns its place as a framing statement; there is no other filler.

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

Completeness4/5

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

For a zero-parameter tool with no output schema, the description supplies the crucial missing piece: what data comes back, listed by category. It stops short of stating the response format or whether sections can be empty, which is a minor gap for a simple dashboard read.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, which is the baseline 4 case. Nothing in the schema needs decoding, and the description correctly presents the briefing as parameterless and self-scoped to the current day.

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 deliverable (a morning briefing) and enumerates its contents: today's tasks, overdue items, upcoming deadlines, contacts needing follow-up. The word 'Morning' and 'today's' implicitly separate it from kernel_dashboard_evening and kernel_dashboard_weekly, but no sibling is named explicitly, so the differentiation is inferred rather than stated.

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?

'Your daily overview' plus the morning framing implies the usage context (start-of-day check-in) without spelling out when to call it versus the evening or weekly dashboards. There are no exclusions, prerequisites, or named alternatives, so an agent must infer the cadence distinction from the tool name alone.

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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