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List Monitors

list_monitors
Read-onlyIdempotent

List the Monitors in a project. A Monitor is a scheduled, low-volume check that runs a Script on a frequency to verify health and alert on failure; each execution is a Cycle. Each row is a summary without the thresholds and engine ids; read one Monitor's full configuration with get_monitor. Read get_documentation topic 'monitoring' for how Monitors, Cycles, and Incidents behave. Tags are shared across the team: to tag an item, reuse a name the list tools already report, and create a new tag only when the user asks for one.

Input Schema

NameRequiredDescriptionDefault
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, so safety is covered; the description adds the meaningful behavioral detail that rows are summaries lacking thresholds and engine ids. It does not mention volume, pagination, or ordering, which keeps it below a 5 for a list operation.

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

Conciseness3/5

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

The purpose and the get_monitor pointer are well front-loaded, but the trailing tag-management paragraph describes how to create and reuse tags, which is not an action this read-only list tool performs. It reads as boilerplate shared across list tools and dilutes the payload.

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?

For a one-parameter read tool with rich annotations and no output schema, the description covers what is returned (summaries, not full config), where to go next, and which documentation topic explains the domain model. The only gap is nothing about result size or pagination.

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?

There is a single required projectId at 0% schema description coverage, and the description only implies it via 'in a project' without giving a format, source, or how to obtain a valid id. That is the baseline-adequate minimum rather than compensation for the coverage gap.

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?

States a specific verb and resource ('List the Monitors in a project') and then defines what a Monitor actually is, which the agent cannot infer from the name. It explicitly distinguishes itself from the sibling get_monitor by naming it as the path to full configuration.

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?

Gives explicit routing: use this for summaries, use get_monitor for full configuration, and read the 'monitoring' documentation topic for how Monitors, Cycles, and Incidents behave. Alternatives and the condition that selects them are both named.

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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