nolag_list_apps
List all apps in the project (determined by API key)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all apps in the project (determined by API key)
| 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 provided, so the description carries the burden. It adds the behavioral context that the app list is scoped by the API key, which is useful. However, it does not disclose pagination, return format, error behavior, or rate limits, so transparency remains limited.
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 concise sentence with no wasted words. It conveys the action, resource, and scope efficiently.
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 list operation with no parameters and no output schema, the description is adequate and complete. It states exactly what the tool does and its scoping. A minor gap could be mentioning the return format, but it is not critical for a list-all tool.
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, and the schema coverage is 100% (empty schema). According to the rubric, 0 params receives a baseline of 4. The description's mention of API key scope is authentication context, not a parameter.
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 uses a specific verb ('List'), identifies the resource ('apps'), and clarifies the scope ('project determined by API key'). This clearly distinguishes it from sibling tools like get_app (single app) and create/update/delete app.
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 is for retrieving all apps, but it does not explicitly state when to use it vs alternatives like get_app, nor does it mention any exclusions or prerequisites. Usage is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.