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List monitors

list_monitors
Read-onlyIdempotent

List the monitors on the account, newest first, 30 per page. Each entry carries the id needed by every other tool, plus name, url, type, current status, check frequency and the uptime percentage over the last 24 hours. Start here when the request names a monitor by name rather than by id, and when asked what is broken - filtering by status "down" answers that in one call. Returns an empty list rather than an error when nothing matches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, 1-based. Defaults to 1.
typeNoReturn only monitors of this type. Omit for all types.
statusNoReturn only monitors in this state. "pending" means created but not yet checked; "paused" means checking is switched off, so it is neither up nor down.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesThe rows on this page.
totalItemsNoTotal across all pages, not just this one.

TDQS

A4.9/5.0
Behavior5/5

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

The description enriches the annotations (readOnlyHint, idempotentHint) with non-obvious details: default page size (30), sorting (newest first), fields included (id, name, url, type, status, check frequency, uptime), and notably that an empty list is returned instead of an error when no monitors match. This goes well beyond what annotations convey.

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 sentences long, each adding unique value: core function, entry field details, and usage guidance plus edge behavior. It's front-loaded with the primary purpose and wastes no 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?

For a read-only list tool with well-annotated parameters and a provided output schema, the description covers all necessary aspects: pagination, sorting, filtering capabilities, entry fields, and error behavior. It leaves no significant gaps for an agent to understand how to use the tool effectively.

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?

The input schema already documents all three parameters with clear descriptions and enums, giving 100% coverage. The description adds value by stating the default page size ('30 per page') and the empty-list behavior for no matches, which are not in the schema. However, these are minor additions relative to the schema's completeness.

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's purpose: 'List the monitors on the account, newest first, 30 per page.' It further distinguishes itself by noting the returned 'id needed by every other tool' and provides a concrete use case for the status filter. This makes it highly specific and separates it from sibling tools like get_monitor.

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 explicitly states when to use this tool: 'Start here when the request names a monitor by name rather than by id, and when asked what is broken - filtering by status "down" answers that in one call.' It provides clear contextual guidance, even though it doesn't mention alternatives by name. The 'start here' and specific use case give strong 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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TDQS

A4.4/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose. The six monitor creation tools are explicitly differentiated in their descriptions (e.g., HTTP vs API vs SSL vs domain), and lifecycle tools like delete, pause, resume, and list are unambiguous. Overlap is minimal and explicitly addressed.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (e.g., create_http_monitor, get_stats_hourly, pause_monitor). No mixed conventions or vague verbs; the pattern is uniform and predictable.

Tool Count4/5

15 tools is on the higher end of the ideal range, but each tool earns its place. The count reflects a comprehensive monitoring surface without unnecessary redundancy. Slightly over the typical sweet spot, but justified by the domain.

Completeness4/5

The tool surface covers creation, deletion, pause/resume, listing, retrieval, incident history, and two levels of statistics, plus notifications. A notable gap is the absence of an update/edit tool for existing monitors, which agents may need to adjust configurations. Otherwise, the lifecycle is well covered.

Resources