skylight_like_message
Like a message or photo on a Skylight frame using its ID.
Instructions
Like a frame message/photo.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| frameId | No |
Like a message or photo on a Skylight frame using its ID.
Like a frame message/photo.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| frameId | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does not disclose any behavioral traits beyond the basic action. Since no annotations are provided, the description should cover aspects like whether liking is reversible, permissions needed, or side effects. It does not.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It is front-loaded but may be too brief given the lack of other documentation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool is a mutation, no output schema, and no annotations, the description is insufficient. It does not cover what happens after liking, such as a response or toggle behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description must explain parameter meanings. It does not mention 'id' or 'frameId', leaving their roles entirely unspecified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Like a frame message/photo' clearly specifies the action and resource. It distinguishes from sibling tools like skylight_unlike_message, but could be more precise about what constitutes a 'frame message/photo'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives (e.g., unlike or get). There is no mention of prerequisites or context, such as whether the message must already be viewed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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