Skip to main content
Glama

skylight_generate_activity_ideas

Generate AI activity and event ideas for a location and time range, creating draft events ready for review. Specify family member categories, budget, and activity type for tailored options.

Instructions

Generate AI activity/event ideas for a location and time range (creates draft events — async).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
budgetNoe.g. "$50".
frameIdNo
category_idsYesFamily-member category ids the activities are for.
activity_kindNoe.g. "local_event".
physical_locationYesLocation, e.g. "Charlotte, NC, USA".
datetime_range_endYesISO datetime.
datetime_range_startYesISO datetime.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changedv0.7.1
    • removedInput schema / properties / category_ids / items / anyOf
      Removed value: -[
      -  {
      -    "type": "string"
      -  },
      -  {
      -    "type": "number"
      -  }
      -]
    • addedInput schema / properties / category_ids / items / type
      Added value: +[
      +  "string",
      +  "number"
      +]
  2. First observedv0.4.6

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses that the tool is asynchronous and that it creates draft events rather than returning finalized events immediately. It does not explain what happens after drafts are created or how results are surfaced, but the side-effect and async traits are meaningfully stated.

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?

A single concise sentence front-loads the core purpose and adds two critical behavioral qualifiers—draft creation and asynchronicity—without any filler. Every phrase contributes information.

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 generation tool with no output schema and no annotations, the description is adequate but leaves gaps. It does not say how the agent should discover the resulting drafts or whether approval is required, and it does not mention the sibling auto-creation draft tools that are likely relevant.

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

Parameters3/5

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

Schema description coverage is high at 86%, so the schema already documents the parameters well. The description adds little beyond mapping to 'location' and 'time range', which are already represented by physical_location and datetime_range_start/end. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action (generate AI activity/event ideas), a resource scope (location and time range), and a concrete side effect (creates draft events, async). This clearly distinguishes it from event CRUD tools and the sibling skylight_generate_meal_plan.

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?

The description implies when to use the tool: when AI-generated activity ideas are needed for a given location and time range. However, it gives no explicit guidance about when not to use it or which sibling tools cover related but different cases, such as generating meal plans or managing existing drafts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chrischall/skylight-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server