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list_checks

Browse and filter monitoring checks by name, labels, or check group to locate specific checks within your organization's fleet.

Instructions

List monitoring checks for the organization, optionally filtered by name/slug substring, labels, or check group. Use this for browsing or filtering a fleet of checks. To investigate a single check's current health, use diagnose_check instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoCase-insensitive substring match on check name or slug, e.g. "api".
withNoComma-separated extra fields: lastResult — most recent result for each check lastStatusChange — when each check last changed status Example: "lastResult,lastStatusChange".
limitNoMax results (1-100, default 20).
cursorNoOpaque pagination cursor returned by a previous response. Omit on the first page.
labelsNoLabel filter as a JSON object. Returns checks that have ALL of the given labels with matching values (AND semantics). Example: {"env": "production", "team": "api"}.
checkGroupUidNoFilter to checks in this group (UID or slug), e.g. "core-services".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.32.1

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It communicates that this is a read-only listing operation with optional filtering, which is useful. However, it does not mention pagination behavior, default limits, or whether the response includes last results by default, leaving some behavioral detail to the schema.

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?

Two sentences with no filler. The core purpose is front-loaded, filters are summarized compactly, and the alternative tool is mentioned in a single closing sentence.

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 list tool with no required parameters and a well-documented schema, the description covers selection and routing adequately. It lacks an explicit statement about the return shape or pagination, but the schema covers the pagination cursor and the sibling routing covers the main alternative use case.

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 description coverage is 100%, so the schema fully documents all six parameters. The description adds a concise summary of the main filter dimensions (name/slug, labels, check group) but does not add meaning beyond the schema for parameters like limit, cursor, or with.

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 states a specific verb and resource: 'List monitoring checks for the organization', and enumerates the available filters (name/slug substring, labels, check group). It also distinguishes itself from diagnose_check, making it clear this is a fleet-browsing tool rather than a single-check health tool.

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?

It explicitly states when to use this tool ('browsing or filtering a fleet of checks') and names an alternative for a different use case ('To investigate a single check's current health, use diagnose_check instead'). This gives the agent actionable routing guidance.

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