create_guest
Creates a guest token hp_…
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Creates a guest token hp_…
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
No annotations are present, so the description carries the full behavioral disclosure burden. It identifies that this creates/mutates state, but it does not disclose whether authentication is required, how long the guest token remains valid, or what happens after creation. For a mutation-style tool, this is a clear gap.
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 description is extremely short with no filler. It immediately conveys the action and the resource, and every part of the text contributes useful information.
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 tool is simple with zero parameters, but there is no output schema and no annotations. The description implies the created guest token is the result but does not explicitly state the return value, token lifetime, or intended use. This is adequate but leaves meaningful gaps.
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?
There are zero parameters, so the baseline is 4. The description does not need to explain parameter details, and the mention of the 'hp_' prefix is helpful context for the resulting token.
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 a specific resource, 'guest token hp_…'. This clearly differentiates it from sibling create_endpoint and other tools by naming the exact thing produced.
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 the tool should be used when a guest token is needed, but it gives no explicit guidance about when to choose it over alternatives or any exclusions. There is no mention of prerequisites, auth context, or when not to use it.
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.