ping_ingest
Simulates the cron: GET on /in/:id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Simulates the cron: GET on /in/:id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
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 provided, so the description carries full responsibility for behavioral disclosure. It only reveals that an HTTP GET is performed; it does not state whether this triggers side effects, what happens if the id is invalid, whether authentication is needed, or what the response contains. 'Simulates' is ambiguous about the actual effect.
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 a single compact sentence with no padding or repetition. It front-loads the key behavioral fact (simulated cron) and the operation. It is concise, though this conciseness comes at the cost of completeness.
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 the low complexity (one parameter, no output schema), the description is still insufficient. It lacks return-value behavior, id semantics, and a clear statement of what 'ping_ingest' accomplishes—leaving too much for an agent to infer.
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 input schema has 0% description coverage, so the description must compensate. It does add that id is used in the URL path (/in/:id), giving some syntactic context, but it never explains what the id represents (e.g., endpoint id, ingestion job id, guest id), leaving an agent without enough information to supply a correct value.
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 action: it simulates a cron GET on the /in/:id path. This names a verb (GET), a resource path, and a triggering mechanism (cron simulation), which is more than a tautology and distinguishes it from sibling tools that manage endpoints or events.
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 alternatives, no mention of prerequisites, and no exclusions. The phrase 'simulates the cron' implies a testing scenario but never explicitly says when this tool should be selected over siblings like get_endpoint or list_events.
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.