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Misata Studio: verified synthetic data

Blueprint reference

blueprint_guide
Read-onlyIdempotent
The reference for the engine's full design language (the `blueprint` argument of generate_dataset,
start_generation and validate_blueprint): roles, distributions, formulas that read parent columns
and draw noise, per-group sequences (seq, lag, cumsum, ar1 drift, random walk), aggregates, event
windows, cause-and-effect, lifecycles, with patterns, and an index of chapters. Read it before
writing a blueprint.

Args:
    topic: a chapter's id from the index (or several, comma-separated) for that chapter in full, with
        a world that builds as written: JSON payloads (webhooks, audit trails), threads of messages,
        one party's duplicate records, running balances, rosters made from demand, a source system's
        raw drops and schema changes, planted problems for an eval. Empty for the reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / topic
      Added value: +{
      +  "default": "",
      +  "title": "Topic",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safe-read profile is fully covered without the description. The description adds that an empty topic yields the index/reference and that topics expand into worked "worlds", but discloses nothing about size, cost, or truncation for large chapters.

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

Conciseness3/5

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

The purpose is front-loaded and the topic explanation is useful, but the middle section bloats: "JSON payloads (webhooks, audit trails), threads of messages, one party's duplicate records, running balances, rosters made from demand, a source system's raw drops and schema changes, planted problems for an eval" is a long illustrative list that does not help an agent choose or call the tool.

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?

An output schema exists, so return values need no explanation, and the description covers what content is reachable and how `topic` selects it. For a one-parameter read-only reference tool this is essentially complete, with only the chapter-id vocabulary left to the index itself.

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?

Schema description coverage is 0%, so the description carries the full burden and does it well: it defines `topic` as a chapter id from the index, allows several comma-separated ids, and states that empty returns the whole reference. Only the exact id format/naming is left implicit.

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 names a specific resource (the engine's full design language / blueprint argument) and enumerates exactly what it covers: roles, distributions, formulas, sequences, aggregates, event windows, lifecycles. It also distinguishes itself from siblings by tying the content to the `blueprint` argument of generate_dataset, start_generation and validate_blueprint, so an agent can tell this is the reference companion, not a generator.

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?

"Read it before writing a blueprint" gives an explicit trigger condition for calling this tool, which is exactly the guidance a reference tool needs. It does not name a when-not condition or an alternative resource, but the context is unambiguous.

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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