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estimate_cost

Estimate token count and cost for any prompt text across providers. Choose Claude, OpenAI, or generic to get accurate cost projections.

Instructions

Estimate token count and cost across providers for any prompt text. No session needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prompt_textYesThe prompt text to estimate cost for
targetNoTarget platform for model recommendationsclaude
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It names the core function but does not mention whether it's read-only, if it makes external calls, or any limitations, leaving gaps.

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?

Single sentence, front-loaded with 'Estimate,' no wasted words. Perfectly efficient.

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

Completeness2/5

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

No output schema and no description of return values or format. For a tool that returns estimates, this is a significant gap. Also lacks behavioral context.

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

Parameters3/5

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

Schema coverage is 100% (both parameters described), so baseline is 3. The description adds no extra meaning beyond 'any prompt text,' not elaborating on parameters or enums.

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 estimates token count and cost across providers for any prompt text, with a specific verb and resource. It distinguishes from siblings like optimize_prompt and refine_prompt.

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 includes 'No session needed,' implying it can be used independently, but lacks explicit when-to-use or alternatives. Usage is implied rather than stated.

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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