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Paxaver MCP Server

Paxaver MCP Server

Official
by Smartoire
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Sign Up for Volunteer Shift

sign_up_for_volunteer_shift
Idempotent

Reserve a specific volunteer shift by shift ID. Confirm with the user before signing up; fails if the shift is full or cancelled.

Instructions

Signs the authenticated user up for a specific volunteer shift - no payment involved. shift_id identifies one shift within an event, not the event itself: get it from the event's volunteer shifts in list_school_events. The call fails when the shift is full or cancelled. To attend an event as a guest instead, use register_for_event. WRITE - confirm with the user before signing up.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "shift_id": "<shift_id>"
    },
    "name": "sign_up_for_volunteer_shift"
  }
}

Input Schema

NameRequiredDescriptionDefault
shift_idYesVolunteer shift ID - from the event's volunteer shifts (list_school_events)

Output Schema

NameRequiredDescriptionDefault
idNoSignup ID
statusNoSignup status
shiftIdNoVolunteer shift signed up for

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.5.1

TDQS

A4.9/5.0
Behavior5/5

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

The description adds meaningful behavioral context beyond the annotations: no payment is involved, the call fails when the shift is full or cancelled, and it explicitly labels itself as a WRITE operation requiring user confirmation before executing. These details complement the idempotentHint and destructiveHint annotations without contradicting them.

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?

Each sentence earns its place: the core action, the no-payment clarification, the shift_id disambiguation with sourcing instructions, the failure triggers, the guest alternative, and the confirmation guardrail. The description is compact but information-dense, with the main purpose front-loaded.

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?

For a single-parameter tool with an output schema and complete annotations, the description covers everything an agent needs to invoke it correctly: parameter semantics, source of the ID, failure conditions, alternative usage, and user confirmation. There are no notable gaps.

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 baseline is 3. The description goes further by clarifying that shift_id refers to a shift within an event, not the event itself, and directs the agent to list_school_events for retrieval—value that the schema description alone does not fully convey.

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 ('Signs up'), names the resource ('volunteer shift'), and adds critical distinctions: it is for the authenticated user, involves no payment, and shift_id is a shift within an event, not the event itself. This clearly separates it from sibling tools like register_for_event and the event-level operations.

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?

Explicitly states when the tool is appropriate (signing up for a volunteer shift) and directly names the alternative for guests: 'To attend an event as a guest instead, use register_for_event.' It also instructs where to obtain shift_id via list_school_events, leaving no ambiguity about the prerequisite data source.

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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