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shenwell

stillonline-mcp

by shenwell

Create Check

checks.create

Add a URL check to a StillOnline project for monitoring SaaS endpoints, API health, or autonomous agents. Specify the project and URL to probe.

Instructions

Add a URL check to an existing StillOnline project. Use this for additional SaaS endpoints, API health URLs, MCP backends, or autonomous agent health checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic URL to probe. Prefer HTTPS health endpoints that return 200 without authentication.
nameNoOptional check label shown in the dashboard and status context.
project_idYesStillOnline project ID that should receive the new check.
interval_secondsNoOptional probe interval in seconds. Availability depends on the account plan.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
checkYesStillOnline check object, including identifiers, URL, enabled state, interval, and latest probe status fields returned by the REST API.
Behavior4/5

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

Annotations indicate the tool is not read-only and not destructive, which aligns with the description 'Add a URL check'. It adds behavioral context by suggesting HTTPS health endpoints that return 200 without authentication.

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 concise sentences: first states the core purpose, second provides concrete use-case examples. No redundant or irrelevant information.

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 tool with 4 parameters (2 required) and an output schema, the description sufficiently covers what the tool does and when to use it, with no missing essential information.

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?

With 100% schema description coverage, the baseline is 3. The description adds valuable guidance for the 'url' parameter ('Prefer HTTPS health endpoints that return 200 without authentication'), improving beyond the schema alone.

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 verb ('Add a URL check') and resource ('existing StillOnline project'), and lists specific, distinct use cases that differentiate it from sibling tools like checks.list or checks.update.

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 description provides clear context by listing example uses (SaaS endpoints, API health URLs, MCP backends, autonomous agent health checks), though it does not explicitly state when not to use the tool or mention alternatives.

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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