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Iqbalahmed7

Simulatte MCP Server

by Iqbalahmed7

simulatte_estimate_cost

Estimate credit cost and USD price for a Simulatte study locally before running it. Calculated as base cost per persona multiplied by sample size.

Instructions

Estimate the credit cost and USD price for a Simulatte study before running it. Calculated locally — no API call needed. Credits = base_cost_per_persona × sample_size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYes
sample_sizeNoNumber of personas (default: 50)
max_turnsNoInterview turns — only relevant for depth-interview SKU
Behavior4/5

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

With no annotations, the description carries full burden. It reveals local calculation ('no API call needed') and provides the cost formula, but does not disclose error handling or parameter validation behavior.

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, concise and front-loaded. Every sentence adds value: estimation purpose, local calculation, and formula.

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

Completeness4/5

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

Given no output schema, the description explains what is estimated (credits and USD) and the formula. It could mention return format, but for a simple estimation with no side effects, it is adequate.

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?

The schema already covers parameter descriptions for all three params (67% coverage). The description adds the cost formula but no new semantic information for sku or max_turns beyond schema defaults.

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 credit cost and USD price for a Simulatte study before running it, distinguishing it from sibling tools like simulatte_run_study. The verb 'estimate' and resource 'cost/price' are specific.

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 indicates when to use ('before running it') and notes it requires no API call. However, it lacks explicit guidance on when not to use or alternatives to sibling tools.

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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