List connected apps
connected_apps_listApps you connected to qrlia with OAuth (Claude, Claude Code, other MCP clients), with scopes and last use.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
connected_apps_listApps you connected to qrlia with OAuth (Claude, Claude Code, other MCP clients), with scopes and last use.
| 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?
The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is clear. The description adds valuable context beyond annotations by specifying that these are OAuth-connected apps and that the response includes scopes and last use, which helps the agent understand the returned data.
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, front-loaded sentence that packs all necessary information without any wasted words. It is appropriately sized for a simple list operation.
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 zero-parameter schema, the rich read-only annotations, and the absence of an output schema, the description is complete enough. It tells the agent what kind of apps are listed and what fields (scopes, last use) are included, which is sufficient for correct invocation and interpretation.
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 the parameter semantics baseline is 4. The description does not need to explain any parameters, and none are present in the schema.
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 (implied by title 'List') and resource ('connected apps') and elaborates on exactly what is returned: OAuth-connected apps including Claude, Claude Code, and other MCP clients, with scopes and last use. It is easily distinguishable from the sibling connected_apps_disconnect, which performs a different action.
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 usage by describing what is listed, so an agent can infer it is for viewing connected apps. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide any exclusions or conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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