Skip to main content
Glama
mrh-is

partiful-mcp

by mrh-is

get_mutuals

Read-onlyIdempotent

Fetch mutual connections on Partiful: people who attended the same events as you. Returns user profiles. For a single event's guest list, use get_mutual_guests.

Instructions

Get your mutual connections on Partiful — people you've been at the same events with. Returns an array of user profiles (id, name, display name, username). Not scoped to a single event; use get_mutual_guests instead if the question is about one specific event's guest list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoDot-path field names to include in the response. Omit to return all fields. Available fields: mutuals, mutuals.displayName, mutuals.id, mutuals.name, mutuals.username

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
mutualsNo
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the safety profile is established. The description adds valuable context: it explains the return format ('array of user profiles (id, name, display name, username)') and the scope behavior (not event-specific). This goes beyond what annotations provide.

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 three concise sentences, each serving a clear purpose: defining the tool, stating the return shape, and clarifying scope with an alternative. No wasted words.

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?

Given the tool's simplicity (one optional parameter, output schema present, annotations provided), the description fully covers the core behavior, return structure, and sibling differentiation. It is contextually complete for an agent to select and invoke the tool correctly.

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 coverage is 100% with the 'fields' parameter fully described in the input schema, including available dot-path fields. The description adds no additional parameter meaning, so the baseline of 3 is appropriate.

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 a specific verb and resource: 'Get your mutual connections on Partiful — people you've been at the same events with.' It also differentiates from the sibling tool get_mutual_guests by explicitly stating this is not scoped to a single event. This makes the tool's purpose unambiguous and distinct.

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

Usage Guidelines5/5

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

The description provides explicit usage guidance: 'Not scoped to a single event; use get_mutual_guests instead if the question is about one specific event's guest list.' This clearly states when to use this tool and when to use an alternative, exceeding a mere implication.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mrh-is/partiful-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server