create_endpoint
Creates a dead-man endpoint. May return 402 x402 when it leaves the free tier.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| alert_to | No | ||
| alert_url | No | ||
| guest_token | Yes | ||
| interval_sec | No |
Creates a dead-man endpoint. May return 402 x402 when it leaves the free tier.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| alert_to | No | ||
| alert_url | No | ||
| guest_token | Yes | ||
| interval_sec | No |
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?
With no annotations, the description carries the full burden of behavioral disclosure. It adds a useful warning about a possible 402 response but does not disclose authentication needs, side effects, lifecycle behavior of the dead-man endpoint, or what 'leaves the free tier' means.
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?
The text is short and front-loads the main action, with the caveat placed in the second sentence. The 'x402' phrasing is awkward, but the description is otherwise economical.
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?
Given five parameters, no output schema, and no annotations, this description is far too thin. It omits parameter meaning, success response shape, and any operational context needed to invoke the endpoint creation correctly.
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 0% and the description does not explain any of the five parameters. An agent cannot tell what alert_to, alert_url, interval_sec, or even guest_token mean from this definition.
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 states a specific verb ('Creates') and resource ('dead-man endpoint'), making the tool's basic function clear. It is distinguishable from endpoint read/delete/list siblings by action, though it does not explicitly differentiate from create_guest or explain what a dead-man endpoint is.
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?
There is no guidance on when to use this tool versus the endpoint-related siblings, nor any conditions, exclusions, or alternatives mentioned. The only implied usage is that it creates an endpoint, which is not enough to route an agent confidently.
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 or action: endpoint lifecycle, guest tokens, events, templates, billing, contact, health, and status feeds are clearly separated. Even related tools like get_endpoint and list_endpoints have clearly different scopes.
The create_/get_/list_/delete_ prefix pattern is consistent for resource operations, but several tools are bare nouns (api_index, billing, contact, health, status_feed_url) and status_feed_rotate reverses the expected verb-object order. The mixed style reduces predictability.
Fourteen tools is within the ideal scope for an API-focused server, and each tool provides a meaningful capability for using the HookPulse service. The count feels complete without being bloated.
The endpoint lifecycle is well covered with create, get, list, and delete, plus supporting features like events, templates, status feeds, and billing. There is no explicit update/pause endpoint operation, but that may be outside the dead-man endpoint model, so the gap is minor.