get_events
Recent audit-log events pushed by the connector (logins, users, plugins, options, password changes…).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | default 50, max 200 | |
| site_id | Yes | Site id from list_sites |
Recent audit-log events pushed by the connector (logins, users, plugins, options, password changes…).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | default 50, max 200 | |
| site_id | Yes | Site id from list_sites |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It discloses provenance (events 'pushed by the connector') and recency ('recent'), which is useful context beyond the name. However, it says nothing about ordering, retention window, pagination behavior past the limit, or failure modes, leaving meaningful gaps for a log-retrieval tool.
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?
One front-loaded sentence with no wasted words. The trailing ellipsis in the event-type list is slightly loose but not costly.
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, the description should help the agent anticipate what comes back; listing event categories partially does this. It remains incomplete on recency definition and result ordering, but for a simple two-parameter read tool it is adequate.
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?
Schema description coverage is 100%, with limit (default 50, max 200) and site_id ('from list_sites') both documented in the schema. The description adds no parameter meaning beyond the schema, so the baseline of 3 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 names the specific resource (audit-log events from the connector) and enumerates concrete event types (logins, users, plugins, options, password changes), which makes it distinguishable from siblings like get_findings, get_worklog, and list_accesses. It lacks an explicit verb but the resource identification is strong enough that an agent knows what it retrieves.
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?
There is no statement of when to call this versus alternatives such as get_worklog or list_accesses, and no prerequisites or exclusions. The agent must infer the use case from the resource description 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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