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Price of a generation

quote_generation
Read-only

Get the exact credit price for a generation and your balance to show the cost before running it.

Instructions

Exact credit price of a generation before running it (and the user's balance when connected). Always show this price to the user before generating.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "generator": "<generator>",
      "params": "<params>"
    },
    "name": "quote_generation"
  }
}

Input Schema

NameRequiredDescriptionDefault
paramsYes
generatorYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a non-mutating call, so the safety burden is covered. The description adds genuine context beyond that: the quote is pre-flight and exact, and the balance is only returned 'when connected', hinting at an auth/connection dependency. It says nothing about rate limits, failure modes for unsupported generators, or how the nested params affect the quote.

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 short sentences, the pricing purpose front-loaded and the usage directive second. Every clause carries information; there is no filler or restatement of the title.

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

Completeness3/5

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

For a read-only pricing lookup with no output schema, the description covers the essential 'what' and 'when'. However, with 0% schema coverage and an opaque nested params object, it leaves the caller without enough to actually construct the quote request, which is a meaningful completeness gap for this tool's complexity.

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

Parameters2/5

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

Schema description coverage is 0% for two required parameters, and the description compensates for neither. It never explains the generator enum values or, more importantly, the free-form nested 'params' object whose shape is entirely undocumented anywhere. An agent cannot know what to put in params other than by guessing from the generate_* siblings.

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

Purpose4/5

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

States a specific verb (quote/pricing) and resource (a generation) plus the pre-execution timing: 'Exact credit price of a generation before running it.' This clearly separates it from the generate_* siblings that actually produce assets, though it does not name any sibling explicitly. It also folds in the balance read, which partially overlaps get_balance.

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 imperative 'Always show this price to the user before generating' gives a clear trigger condition and even a UX obligation, which is more than most definitions offer. It does not state when *not* to call it or point to an alternative when a price is not needed, so it falls short of a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.