get_event_stats
Access event statistics to analyze distribution by tier, type, and status.
Instructions
Get event statistics - counts by tier, type, and status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Access event statistics to analyze distribution by tier, type, and status.
Get event statistics - counts by tier, type, and status.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must fully convey behavioral traits. It does not mention that the tool is read-only, nor does it disclose any side effects or prerequisites. The description is too brief to inform the agent about safety or impact.
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 very short (one line) and front-loaded with the key purpose. However, it sacrifices necessary detail for brevity. Every word earns its place, but the description is incomplete.
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 has no output schema and many sibling tools, the description should explain what the output contains (e.g., a JSON structure with counts). It only mentions counts by tier, type, status, but not the response format or any context about what these dimensions mean. This is insufficient for a complete understanding.
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?
The input schema has zero parameters, so the schema coverage is 100% by default. The description adds no extra meaning beyond what the schema provides, but with no parameters, the baseline is 4. No contradictions.
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 it returns counts by tier, type, and status for events, which gives some specificity. However, with many sibling 'get_*_stats' tools, it does not adequately distinguish itself—e.g., from 'get_timeline_stats' or 'get_platform_stats_overview'. The verb 'get' is clear, but the resource is vague.
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 the many other stats tools. There are no examples of when not to use it or which sibling tool would be appropriate for different scenarios. This omission makes selection difficult for an AI agent.
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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