List Connected Accounts
list_connected_accountsList every connected social account available to the authenticated user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_connected_accountsList every connected social account available to the authenticated user.
| 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?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows this is a safe read operation. The description adds value by specifying that it returns only accounts available to the authenticated user, but does not disclose return format, pagination, or other behavioral traits.
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, concise sentence that states the action, resource, and scope without redundant wording. It is immediately readable and front-loaded with the key 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?
Given the zero-parameter input schema and the safety profile already covered by annotations, the description provides enough information for an agent to select and invoke this tool correctly. No return-format detail is strictly necessary for such a simple list operation.
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 accepts zero parameters, and the description accurately reflects that the operation requires no input. The description also clarifies that results are scoped the authenticated user, which aligns with the empty 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 uses a specific verb ('List'), identifies the resource ('connected social accounts'), and scopes it to the authenticated user. It clearly distinguishes this tool from siblings like list_posts and pinterest_list_boards by naming the exact resource type.
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 clearly implies when to use this tool (to retrieve the user's connected accounts), but it provides no explicit guidance about when not to use it or how it compares to alternatives. Usage is inferred from the purpose rather than stated directly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.