Get account balance
get_balanceReturns the customer's current prepaid balance used to pay for letters.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_balanceReturns the customer's current prepaid balance used to pay for letters.
| 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?
With no annotations present, the description carries the full behavioral burden. The verb 'Returns' implies a read-only operation and the description states what value comes back, but it says nothing about authentication needs, account scoping, currency, or how a zero/missing balance is represented.
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 front-loaded sentence with no filler; the purpose and the meaning of the returned value are both stated in one pass.
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 no parameters, no annotations, and no output schema, the description adequately explains what is retrieved. It could go slightly further by describing the shape of the returned balance (amount/currency) or scoping to the authenticated customer, but it is complete enough to call correctly.
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 per the rubric the baseline is 4. There is no parameter surface for the description to clarify, and it correctly avoids inventing any.
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?
Names a specific verb (Returns) and a specific resource (customer's current prepaid balance), and adds the semantic context that it funds letters. It does not explicitly contrast with any sibling, but none of the siblings (create_letter_order, get_order, list_orders, preview_letter_price) overlap with balance lookup, so differentiation is largely unnecessary.
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 gives no when-to-use guidance, no prerequisites, and no mention of alternatives. An agent knows what the tool returns but not under what circumstances it should be chosen, though the narrow scope makes misuse unlikely.
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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