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get_recent_events

Get recent activity events for a workspace. Who did what, when. Useful for understanding what's happened since you last looked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe workspace slug. Accepts either the bare slug ('my-workspace') or the org-prefixed form ('my-org/my-workspace') as shown in the dashboard URL; both resolve to the same workspace.
limitNoMax events to return (default 20)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / slug / description
      Previous value: -"The workspace slug. Accepts either the bare slug ('my-workspace') or the org-prefixed form ('my-org/my-workspace') as shown in the dashboard URL — both resolve to the same workspace."New value: +"The workspace slug. Accepts either the bare slug ('my-workspace') or the org-prefixed form ('my-org/my-workspace') as shown in the dashboard URL; both resolve to the same workspace."
  2. First observed

TDQS

A3.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It only says 'Get recent activity events' and 'Who did what, when,' which is minimal. It does not mention whether it only reads data, whether there are auth requirements, rate limits, pagination, or any caveats about event visibility or scope.

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?

The description is two sentences long, front-loads the core action, and uses simple language. The second sentence ('Useful for understanding...') adds value by indicating the use case without being verbose.

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?

The tool has only two parameters and no output schema, but the description still leaves gaps: it does not describe the structure of the returned events, default ordering, or how the 'limit' parameter behaves. While it is a straightforward read tool, the lack of output schema means the description should have provided a bit more shape about what an 'event' contains.

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 100%, so the schema already explains both parameters ('slug' and 'limit') well. The description does not add new insight beyond what the schema provides, making it equivalent to the baseline for full coverage.

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 uses a specific verb ('Get') and resource ('recent activity events for a workspace') and clarifies the content with 'Who did what, when.' It is distinct from sibling tools like get_workspace or get_doc, which focus on different resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides clear context: 'Useful for understanding what's happened since you last looked.' This implies when to use it (when you need a history of activity), but it does not explicitly mention alternatives or exclusions. However, given the sibling list, the purpose is distinct.

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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