Check account balance
check_balanceThis API key's plan, remaining credits and usage counters. Run before large batches to avoid running out mid-job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
check_balanceThis API key's plan, remaining credits and usage counters. Run before large batches to avoid running out mid-job.
| 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?
No annotations are provided, so the description carries the full disclosure burden. It usefully scopes the result to the calling API key (not an org or workspace) and enumerates the returned fields, which is real value beyond the empty schema. It never states that the call is read-only/side-effect free, nor anything about auth, rate limits, or cost of calling, which leaves gaps for a no-annotation tool.
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?
Two short sentences with no filler, and the payload (what is returned, then when to call it) is front-loaded. Slight deduction because the opening is a sentence fragment that reads as a caption rather than a statement of purpose.
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 tool with no output schema, the description supplies what is needed: it lists the returned fields (plan, credits, usage counters) and key scoping. It stops short of stating safety/read-only semantics, but an agent has enough to invoke it 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 the schema fully specifies the call and there is nothing for the description to disambiguate. Baseline of 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 it inspects — this API key's plan, remaining credits, and usage counters — so an agent knows precisely what it gets back. It is a noun-phrase fragment rather than a verb+resource statement (the verb lives only in the title), but the intent is unambiguous. Siblings (classify_document, delete_document, extract_document, list_schemas) are unrelated, so no differentiation is required.
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?
"Run before large batches to avoid running out mid-job" is explicit, actionable when-to-use guidance tied to a concrete scenario. It does not name alternatives or exclusions, but none of the sibling tools are plausible substitutes, so the missing routing is not a real gap.
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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