List dashboards
checkly_list_dashboardsList all public/private status dashboards. Public API: GET /v1/dashboards.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | 1-based page number. | |
| limit | No | Page size. |
checkly_list_dashboardsList all public/private status dashboards. Public API: GET /v1/dashboards.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | 1-based page number. | |
| limit | No | Page size. |
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 already declare readOnlyHint=true. The description adds that it lists both public and private dashboards and the API endpoint, but does not disclose pagination behavior, authentication needs, or rate limits.
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?
Two concise sentences with no waste. The first sentence conveys the main purpose, and the second adds a technical detail. Perfectly front-loaded.
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?
The description is mostly complete for a simple list tool with good annotations and parameter coverage. However, missing output schema means agents don't know the return structure, which is a minor gap.
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 description coverage is 100%, so the baseline is 3. The description adds no additional meaning to the parameters beyond what the schema already provides.
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?
The description clearly states the tool lists all public/private status dashboards. It is the only dashboard listing tool among siblings, so no confusion. The verb 'List' and resource 'dashboards' are specific.
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 provides no guidance on when to use this tool vs. alternatives, nor does it mention when not to use it. It only includes an API endpoint detail, which is not usage guidance.
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.