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carlyou

pagerduty-mcp-community

by carlyou

list_oncalls

Read-onlyIdempotent

Retrieve on-call schedules filtered by time zone, user, escalation policy, or schedule IDs to view who is on call for specific teams or time periods.

Instructions

List on-call schedules with optional filtering.

Returns:
    List of on-call schedules matching the query parameters

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
responseYes
Behavior3/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description does not need to elaborate. It adds no behavioral context beyond 'List', which is consistent. No contradiction.

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?

The description is concise at two sentences with a return line. It is front-loaded and avoids unnecessary detail, though the return line is redundant given the output schema.

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?

For a simple list tool with good annotations and a clear schema, the description covers the basic purpose. However, it lacks contextual details like the difference from list_schedules or how filtering works, leaving some gaps for an agent.

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?

The input schema has detailed descriptions for all nested properties, so schema documentation is strong. The tool description adds no additional parameter meaning beyond what the schema provides, resulting in a baseline score.

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 tool lists on-call schedules with optional filtering, using a specific verb and resource. It distinguishes itself from sibling tools like list_schedules (which lists schedules) by focusing on on-call schedules.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives (e.g., list_schedules) or context about filtering. It simply states the function without any usage direction.

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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