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Current price

current_price

Retrieve today's input and output price per million tokens for a given AI model, with the first-party source. Supports short or aliased model IDs and optional provider disambiguation.

Instructions

Today's input and output price per million tokens (usd_per_mtok) for a model id, with the first-party source. Accepts short or aliased ids (e.g. "claude-opus-4-8", "gpt-4o", "gemini-2.5-pro"). Pass provider to disambiguate a bare id shared across vendors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesModel id or alias, e.g. "claude-opus-4-8" or "gpt-4o".
providerNoOptional provider slug (e.g. "openai", "anthropic") to disambiguate a bare id.
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses that prices are today's and from first-party source, but does not explicitly state read-only behavior or other traits like rate limits.

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 redundancy, and the core function is front-loaded. Every word adds value.

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?

Given the tool's simplicity (2 params, no output schema, no annotations), the description fully covers purpose, unit, and parameter usage. Complete for effective selection and invocation.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds meaningful context: model accepts short/aliased ids, provider disambiguates shared bare ids. This goes beyond the schema's minimal descriptions.

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 tool returns today's input and output price per million tokens for a model id, specifying unit and data source. It distinguishes from sibling tools like 'price_on' by focusing on current prices.

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

Usage Guidelines3/5

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

The description explains how to use parameters (accepts aliased ids, provider for disambiguation), but does not specify when to use this tool versus alternatives or when not to use it.

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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