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healthchecksio

Resume check

healthchecksio_resume_check
Destructive

RESUMES a paused check — re-enables monitoring. This MODIFIES live monitoring config. Returns HTTP 409 (surfaced cleanly) if the check is not currently paused. Healthchecks: POST /checks/{uuid}/resume (empty body).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uuidYesThe check's UUID to resume.

TDQS

A4.3/5.0
Behavior4/5

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

The description adds meaningful behavior beyond the destructiveHint annotation: it modifies live monitoring config and returns HTTP 409 cleanly when the check is not paused. It does not cover auth, side effects, or reversibility, but that is not a major gap for a one-parameter state transition.

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?

Three short clauses front-load the action and consequence, then give the endpoint and edge-case behavior. Every sentence earns its place with no filler.

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 no output schema, the description covers what it does, the state it requires, the error when that state is absent, and the exact HTTP call. Nothing essential is missing for correct invocation.

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 coverage is 100%, so the schema already fully documents the uuid parameter. The description mentions {uuid} in the endpoint but adds no extra semantics beyond what the schema provides.

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?

Description names the exact verb ('resumes'), resource ('a paused check'), and outcome ('re-enables monitoring'), and the endpoint makes the operation unambiguous. It is easily distinguished from siblings like pause_check or update_check.

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

Usage Guidelines4/5

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

The intended use is clear: call it when a check is currently paused, and the 409 note defines the boundary for incorrect use. It does not explicitly name an alternative for pausing checks, so it stops short of full when/when-not guidance.

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

Each tool maps to a distinct resource and action: check CRUD, pause/resume, pings, flips, badges, and integrations. The only potentially related pair, list_pings and get_ping_body, is clearly separated by metadata vs raw body.

Naming Consistency5/5

All tools follow a clean verb_noun snake_case pattern, with list_* for collections and get_/create_/update_/delete_/pause_/resume_ for single-resource actions. There are no mixed casing styles or inconsistent verb choices.

Tool Count5/5

12 tools is well within the ideal range for this domain, and each tool covers a distinct, necessary operation for managing and inspecting Healthchecks monitoring. The set feels complete without being bloated.

Completeness4/5

The check lifecycle is fully covered with create, get, update, delete, pause, and resume, plus history and supporting data like pings, flips, badges, and integrations. The main minor gap is that there is no tool to send a ping or manually trigger a check success/failure, so end-to-end ping verification must happen out-of-band.