List apps
list_appsThe web apps Vigilia watches for this person, with install and uptime status and how many incidents are open in each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_appsThe web apps Vigilia watches for this person, with install and uptime status and how many incidents are open in each.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value beyond that by disclosing the returned payload (install status, uptime status, open incident counts per app), which matters because there is no output schema.
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?
A single efficient sentence with no filler, and the resource identity is front-loaded. It reads as a noun phrase rather than an imperative, which is a minor structural weakness but costs nothing in comprehension.
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?
With no output schema, the description usefully enumerates the key returned fields, which is the main thing an agent needs here. It does not address result size, pagination, or ordering, but for a zero-parameter read that is a minor omission.
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 takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to clarify about inputs.
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 names the specific resource (the web apps Vigilia watches for this person) and the payload contents, so an agent knows this is a discovery/list operation. It does not explicitly distinguish itself from siblings such as get_app_health or list_open_incidents, which overlap in returned information.
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 when-to-use guidance, no prerequisites, and no named alternatives. The agent must infer that this is the broad entry-point listing versus the per-app siblings like get_app_health or check_install.
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.