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Partiful by Cotlet

Approve guests

approve_guests
Destructive

Approve pending guests on a Guest Approval event. Moves the given pending guests, or all of them, to Approved, as Approve on the host's guest list does. Partiful tells each approved guest by text or email. Ids that are not pending are refused before the call waits for your approval. Returns how many were approved and how many still wait. Hosts only. By default you confirm each call; you can switch that off for this tool. Waits for the owner's approval.

Input Schema

NameRequiredDescriptionDefault
allNoApprove everyone who is pending instead. Default: false.
event_idYesevent_id from list_events.
guest_idsNoPending guest_id values from list_guests (status pending).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With destructiveHint=true already present, the description still adds substantial context: approving triggers guest notifications by text or email, non-pending ids are rejected before any confirmation prompt, the call waits on the owner's approval by default (and that can be disabled per tool), and the return reports approved and still-waiting counts.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the action and scope, and most sentences carry information. It loses a little to duplication between 'before the call waits for your approval' and the closing 'Waits for the owner's approval.'

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

Completeness5/5

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

There is no output schema, and the description compensates by stating the return values (approved count vs still-waiting count). For a three-parameter mutation with a human-in-the-loop gate, the key facts an agent needs are all present.

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 coverage is 100%, so the baseline is 3, but the description adds validation semantics not in the schema: guest_ids that are not pending are refused, and 'all' acts as an alternative selector for the pending set rather than an additive filter.

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?

Names a specific verb and resource ('Approve pending guests on a Guest Approval event') and anchors it to a familiar UI action ('as Approve on the host's guest list does'). An agent can distinguish it from invite_guests or check_in_guests from the description alone.

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?

Gives the operative preconditions: the event must be a Guest Approval event, the caller must be a host, and ids must be pending or they're refused. It stops short of naming alternatives, so an agent must infer that invite_guests handles non-pending/new people.

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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