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hermoso-ai

Hermoso

Official

Credit balance

hermoso_credits
Read-onlyIdempotent

Check your credit balance, recent priced calls, and spending rule before starting paid AI or Ad Spy work; confirm publishing and scheduling cost no credits.

Instructions

Return the account credit balance, the credits this account has spent on the calls listed, those recent priced calls, and costModel — the one-sentence rule of what costs credits. THE RULE: only AI model runs and Ad Spy research spend credits; publishing, scheduling, ads management, analytics, comments, DMs and connectors are FREE on every plan (X is the single per-call exception). Check before kicking off paid generation; answer "does posting cost credits?" with NO.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.161
    • changedOutput schema / (root)
      Previous value: -{
      -  "$schema": "http://json-schema.org/draft-07/schema#",
      -  "additionalProperties": false,
      -  "properties": {
      -    "accountBalance": {
      -      "anyOf": [
      -        {
      -          "type": "number"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "the account’s Hermoso credit balance (authoritative when authed)"
      -    },
      -    "balance": {
      -      "description": "raw vendor meter balance (operator/local-dev surface)",
      -      "type": "number"
      -    },
      -    "recentCalls": {
      -      "description": "recent priced calls with their credit deltas",
      -      "items": {},
      -      "type": "array"
      -    },
      -    "sessionStart": {
      -      "anyOf": [
      -        {
      -          "type": "number"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "vendor balance at session start (operator surface)"
      -    },
      -    "sessionUsed": {
      -      "description": "credits used this session",
      -      "type": "number"
      -    }
      -  },
      -  "type": "object"
      -}New value: +null
  2. Addedv0.1.15
  3. Removedv0.1.0
  4. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds genuine domain behavior beyond that: the exact spend rule (only AI model runs and Ad Spy research cost credits; X is the per-call exception) and the shape of the returned data.

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

Conciseness4/5

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

Front-loaded with the return contents, then the pricing rule. It is longer than a minimal definition and the ALL-CAPS 'THE RULE' plus the canned Q&A is slightly verbose, but every sentence carries actionable information.

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 no output schema, the description compensates by naming the four returned fields (balance, spent credits, recent priced calls, costModel) and explaining the cost rule. An agent has everything needed to call and interpret this 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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly does not waste space on nonexistent inputs.

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?

States a specific verb and resource ('Return the account credit balance') and enumerates the additional payload: spent credits, recent priced calls, and costModel. This clearly distinguishes it from siblings like billing_status and buy_credits.

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

Usage Guidelines5/5

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

Explicitly says when to call it ('Check before kicking off paid generation') and gives a concrete decision rule ('answer "does posting cost credits?" with NO'). The free-vs-paid rule tells the agent exactly which downstream operations warrant a pre-check.

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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