elevenlabs_list_accounts
Lista as contas conectadas neste MCP (id, email, label). Use o resultado pra escolher qual passar em account nas outras tools quando houver mais de uma.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lista as contas conectadas neste MCP (id, email, label). Use o resultado pra escolher qual passar em account nas outras tools quando houver mais de uma.
| 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 provide readOnlyHint, idempotentHint, and destructiveHint=false, so the safe read-only nature is covered. The description adds only the output field list and the selection purpose, without deeper behavior details like errors, auth, or pagination. No contradiction with annotations.
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 two short, front-loaded sentences. The first states the action and output fields; the second gives usage guidance. No filler or redundant content.
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 zero-parameter, read-only list tool with no output schema, the description is comprehensive: purpose, output fields, and follow-up usage are all covered. No meaningful gaps remain.
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%, so the baseline is 4. The description does not need to document any parameters; it only references the `account` parameter used by other tools, which is not part of this tool's 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?
Description uses a specific verb ('Lista') with a clear resource ('contas conectadas neste MCP') and enumerates the returned fields (id, email, label). It clearly distinguishes itself from sibling list tools by focusing on MCP-connected accounts.
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 explicitly tells the agent to use the result to choose which `account` value to pass in other tools when there is more than one. This gives clear when-to-use context, though it does not mention alternatives or explicit when-not-to-use conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.