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hermoso-ai

Hermoso

Official

Credit balance

hermoso_credits
Read-only

Check account credit balance, session usage, and recent call costs before starting paid generation.

Instructions

Return the account credit balance, credits used this session, and recent priced calls. Check before kicking off paid generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
balanceNoraw vendor meter balance (operator/local-dev surface)
recentCallsNorecent priced calls with their credit deltas
sessionUsedNocredits used this session
sessionStartNovendor balance at session start (operator surface)
accountBalanceNothe account’s Hermoso credit balance (authoritative when authed)
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=true. The description adds value by specifying the exact data returned (balance, used credits, recent calls), confirming non-destructive behavior without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler. The first sentence states the return data; the second provides a usage hint. Front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters and an output schema present, the description adequately explains the return values (balance, used credits, recent calls). No additional information is needed for this simple tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no parameters, so schema coverage is 100%. The description adds meaning by detailing the output content, compensating for the lack of parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Return' and the resource 'account credit balance, credits used this session, and recent priced calls'. It distinguishes itself from siblings like 'buy_credits' and 'set_auto_reload' by focusing on read-only balance retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance: 'Check before kicking off paid generation.' This tells the agent when to use this tool, though it does not explicitly list exclusions or alternatives beyond the sibling context.

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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