checkly_get_check_resultRetrieve a single check-run result in full. Public API: GET /v1/check-results/{checkId}/{checkResultId}.
| Name | Required | Description | Default |
|---|---|---|---|
| checkId | Yes | The check id. | |
| checkResultId | Yes | The check result id. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true, so non-destructive. Description adds 'Public API' and 'in full', giving context about accessibility and completeness. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence plus API endpoint; no wasted words. Front-loaded with key action and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Sufficient for a simple read tool: describes what it does, how to call it, and parameters are well-documented in schema. Missing return format is acceptable given no output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers 100% with descriptions for both parameters. Description adds no further meaning beyond the endpoint template, which is already implied by the parameter names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clear verb 'Retrieve' and specific resource 'single check-run result'. The phrase 'in full' distinguishes from list sibling. The API endpoint is provided, reinforcing the purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use for a single result via 'single', but does not explicitly contrast with list or other tools. Sibling names like checkly_list_check_results hint at alternatives, but no direct guidance is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct resources (checks, groups, results, statuses, etc.). However, `checkly_get_check_alerts` vs `checkly_list_check_alerts` could be confused, though descriptions help clarify per-check vs account-level.
All tools follow a consistent `checkly_verb_noun` pattern, using `get`, `list`, and `create` appropriately. No mixing of styles.
22 tools cover a broad monitoring domain reasonably well, but a few resource types (e.g., dashboards, snippets, runtimes) with only list operations may be underutilized.
The tool set is heavily read-only; only maintenance windows and variables have create operations. Missing create/update/delete for checks, groups, alert channels, and other core resources, limiting agent ability to manage the account.