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Create dataset

create_dataset

Create a dataset for one signal.

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": {
      "name": "<name>",
      "signal_type": "<signal_type>"
    },
    "name": "create_dataset"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
signal_typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already disclose that this is a mutating, non-idempotent, non-destructive, non-open-world operation. The description adds almost no behavioral context beyond 'one signal'—it does not mention permissions, duplicate-name behavior, validation rules, or what creation entails.

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

Conciseness4/5

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

The description is a single front-loaded sentence with no wasted words. It is concise, though its brevity borders on under-specification rather than efficient completeness.

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?

For a mutating tool with two required parameters, no output schema, and no schema parameter descriptions, the definition is too sparse. It omits parameter semantics, usage conditions, and behavioral details an agent would need to invoke it confidently.

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%, so the description should compensate but does not. It vaguely indicates one signal type, but it does not explain the signal_type enum values or the name field's pattern restrictions, leaving both required parameters largely undocumented in prose.

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?

The description states a specific verb and resource: 'Create a dataset.' The phrase 'for one signal' adds scope and distinguishes it from general dataset listing, though it does not explicitly contrast with sibling tools beyond the obvious create/list distinction.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The only implied usage is that the caller wants to create a dataset, which is already apparent from the name and title.

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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