list_events_all
Lists all event metadata from Sensors Analytics, providing a complete catalog of tracked events for analysis and query preparation.
Instructions
获取神策分析事件列表 (元数据)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lists all event metadata from Sensors Analytics, providing a complete catalog of tracked events for analysis and query preparation.
获取神策分析事件列表 (元数据)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits (e.g., read-only nature, authentication needs, rate limits, data freshness). It only restates the basic action.
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 short sentence, which is concise but lacks any structure or additional context. It conveys minimal information, barely earning its place.
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?
With no output schema, no annotations, and no details about return format or pagination, the description is incomplete for a tool that lists events. The agent would lack necessary context for correct invocation.
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?
There are zero parameters, so the schema coverage is trivially 100%. The description adds no parameter information because none exist, which is appropriate. Baseline score of 4 applies.
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 states '获取神策分析事件列表 (元数据)' (Get list of Sensors Analytics events (metadata)), which clearly identifies the verb (get) and resource (event list). The resource is distinct from siblings like list_event_properties_all or list_event_tags, but no explicit differentiation is provided.
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 given on when to use this tool versus alternatives. The description lacks any context about prerequisites, scenarios, or exclusions.
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/pein892/SensorsMCPServer'
If you have feedback or need assistance with the MCP directory API, please join our Discord server