List the current operational status and recent incidents of every third-party vendor Merlonix monitors (e.g. Cloudflare, GitHub, Stripe). Returns each vendor's slug, current status, and 24h incident count.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, covering safety. The description adds scope (every Merlonix-monitored vendor) and output details (slug, status, 24h count), but does not discuss pagination, rate limits, or limitations. This adds some context but not rich behavioral transparency.
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 redundancy. The verb 'List' leads, examples clarify vendor types, and return fields are specified. Every word earns its place.
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?
For a simple, no-parameter, read-only list tool, the description is largely complete: it states the purpose, scope, and return structure. The only minor gap is lack of explicit guidance on when to use this over the similar sibling get_vendor_status, but that is not essential for understanding the tool's operation.
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?
The tool has zero parameters, so the input schema provides no information. The description clarifies the tool's output and scope, but parameter semantics are inherently not applicable; the baseline for zero parameters is 4.
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 operational status and recent incidents for all monitored third-party vendors, with explicit output fields (slug, current status, 24h incident count). The word 'every' distinguishes it from the sibling 'get_vendor_status', which likely targets a single vendor.
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 bulk overview of all vendors but does not explicitly mention when to use this tool versus get_vendor_status or other list tools. No exclusions or alternatives are named, leaving usage only implicit.
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.
Each tool targets a distinct resource and action. The five check tools are differentiated by their target (agent readiness, broken links, domain health, email blacklist, MCP health), and asset/alert management tools have clear CRUD/lifecycle boundaries. No two tools appear to overlap.
All 16 tools follow a consistent verb_noun pattern with lowercase and underscores (e.g., check_domain_health, create_asset, list_my_alerts). The verbs are clear and consistently used, making the API predictable.
16 tools is well-scoped for a monitoring service that spans asset management, alert lifecycle, multiple diagnostic checks, vendor status, and plan listing. Every tool has a distinct role and earns its place without redundancy.
The tool surface covers full asset CRUD (create, list, update, delete, get checks), alert lifecycle (list, acknowledge, resolve), and a broad set of standalone checks. Minor gaps like a direct 'get asset' endpoint or manual re-check are absent, but core workflows are fully supported.
