Account balance
get_accountThe connected Lazybird account: email, plan name, and characters used, left and when the allowance resets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_accountThe connected Lazybird account: email, plan name, and characters used, left and when the allowance resets.
| 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=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds genuinely new context: which fields come back and that the character allowance resets. It does not mention whether output is cached/live or how the reset timestamp is formatted, so it adds some but not rich behavioral context.
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?
One short sentence, front-loading the resource and the returned fields with no filler. The phrasing 'characters used, left and when the allowance resets' is slightly awkward to parse, which is the only blemish.
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?
There is no output schema, so the description carries the burden of describing return values — and it does list the relevant fields (email, plan, usage, remaining, reset). For a no-parameter, read-only tool with full annotation coverage, that is close to complete; only output formatting 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 no parameter semantics to explain and the schema is trivially complete. Baseline 4 applies; the description correctly avoids inventing inputs.
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 names the exact resource (the connected Lazybird account) and enumerates the returned fields: email, plan name, character usage and remaining allowance, and reset timing. An agent knows this is an account/quota lookup rather than a speech or voice operation. It lacks an explicit verb and does not name a sibling, but the sibling tools (voice, speech) are clearly unrelated, so disambiguation is not really needed.
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 explicit when-to-use statement, but with zero parameters and an obvious read-only account resource, the intended use (check plan/quota before generating speech) is strongly implied. Nothing warns about when not to call it, e.g. no need to call it repeatedly, but the implied context is clear enough.
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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