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jackfioru92

MCP Aruba Email & Calendar Server

by jackfioru92

accept_calendar_event

Confirm attendance for a calendar event invitation by providing the event UID and optional comment.

Instructions

Accept a calendar event invitation.

Args:
    event_uid: UID of the event to accept
    comment: Optional comment for the acceptance

Returns:
    Response status

Example:
    accept_calendar_event(
        event_uid="abc123@aruba.it",
        comment="Ci sarò!"
    )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_uidYes
commentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions the action ('Accept'), it doesn't describe what acceptance entails (e.g., updates to calendar, notifications sent, permissions required), response format details beyond 'Response status', or any side effects. The example helps but doesn't fully compensate.

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 well-structured and front-loaded with the purpose, followed by organized sections for Args, Returns, and Example. Every sentence adds value with no redundant information, making it efficient for an AI agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (mutation action with 2 parameters), no annotations, but an output schema exists, the description is reasonably complete. It covers purpose, parameters, and includes an example, though more behavioral context would enhance completeness for a mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It provides clear parameter explanations: 'event_uid: UID of the event to accept' and 'comment: Optional comment for the acceptance', adding meaningful context beyond the bare schema. However, it doesn't specify UID format or comment constraints.

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 clearly states the specific action ('Accept a calendar event invitation') and identifies the resource ('calendar event invitation'). It distinguishes from sibling tools like 'decline_calendar_event' and 'tentative_calendar_event' by specifying the acceptance action.

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

Usage Guidelines3/5

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

The description implies usage context (accepting calendar invitations) but doesn't explicitly state when to use this tool versus alternatives like 'decline_calendar_event' or 'tentative_calendar_event'. No guidance on prerequisites or exclusions is provided.

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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