Read the account
get_accountReturns the plan, wallet balance, how many people are on the account, how many eSIMs are live, and which setups this seat can run.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_accountReturns the plan, wallet balance, how many people are on the account, how many eSIMs are live, and which setups this seat can run.
| 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 declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds genuine value beyond that by disclosing the returned data shape (plan, balance, member/eSIM counts, per-seat setups), which matters because no output schema exists.
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 sentence, front-loaded with the verb and target, with the returned fields listed compactly. No filler or repetition, though the field list is dense enough that it reads as an enumeration rather than pure prose.
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?
With no output schema, the description carries the return-value burden and does so by naming the key fields. Annotations cover the safety profile and there are no parameters, so little else is needed; only return format/structuring details are absent.
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 there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The schema is closed (additionalProperties=false) and the description correctly signals a no-argument call.
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?
States a specific verb-resource pair ('Returns the ... account') and enumerates the exact content returned: plan, wallet balance, member count, live eSIM count, and runnable setups. This is far more specific than a bare name restatement, though it does not explicitly distinguish itself from the overlapping sibling get_account_balance.
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?
There is no when-to-use guidance, no prerequisites, and no mention of alternatives despite a very large sibling set containing get_account_balance, list_plans, list_team, and list_esim-related tools. An agent must infer the call context entirely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.