get_account_details
Retrieve account details from your DMTicket workspace to access workspace settings and configuration information.
Instructions
Get account details
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve account details from your DMTicket workspace to access workspace settings and configuration information.
Get account details
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility for behavioral disclosure. It only states the action without revealing side effects, required permissions, rate limits, or whether the data is cached or real-time. The agent has no behavioral insight beyond the obvious read operation.
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 extremely concise (one short phrase), which is efficient, but it sacrifices completeness. For a tool with zero parameters and no output schema, more context could have been added without sacrificing brevity. It is not optimally informative.
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 lack of output schema, annotations, and parameter details, the description should provide more contextual information such as what 'account details' includes (e.g., name, email, settings) or whether it returns a full object. The single phrase is insufficient for an AI agent to fully understand the tool's capabilities.
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 input schema is empty (0 parameters), so the description does not need to explain parameters. Schema description coverage is 100% (vacuously), so the baseline of 4 applies. No additional parameter information is necessary.
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 'Get account details' clearly identifies the action (get) and resource (account details), but it is vague and does not specify what kind of details (e.g., basic info, settings, or audit logs) or differentiate from sibling tools like get_account_audit_logs or update_account. It lacks specificity to fully guide an AI agent.
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?
No usage guidance is provided. The description does not indicate when to use this tool versus alternatives such as get_account_audit_logs or update_account, nor does it mention any prerequisites or context for invocation.
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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