v12-dfs

list_presets

Get Presets

List the available strategy presets (gpp_pro_pattern, gpp_sniper, gpp_balanced, gpp_volume, cash_grinder, gpp_contrarian, gpp_mass_entry) with their configurations. No auth required.

Responses:

200: Successful Response (Success Response) Content-Type: application/json 422: Validation Error Content-Type: application/json

Example Response:

{
  "detail": [
    {
      "loc": [],
      "msg": "Message",
      "type": "Error Type",
      "ctx": {}
    }
  ]
}

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_presets"
  }
}

Input Schema

Name	Required	Description	Default
`sport`	No		nba

Schema Changelog

Changes observed during successful MCP inspections.

First observedJun 17, 2026

TDQS

C2.8/5.0

Behavior3/5

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

No annotations are provided, so the description carries the burden. It states "No auth required" and implies a read-only operation (listing presets), but does not disclose rate limits, data freshness, or any behavioral traits beyond the basic operation.

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 description is somewhat verbose, including a full response example for a 422 error and a vague success response. The core information (listing presets, no auth) could be conveyed more succinctly. Front-loading is decent.

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?

With one optional parameter and no output schema, the description should explain the parameter and the response structure (e.g., what configurations are returned). It lists preset names but omits details on the response format beyond a placeholder success response. The example provided is for an error case, not the primary use case.

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 coverage is 0% and the description does not explain the single optional parameter "sport" (default "nba"). The description lists preset names but gives no context on how or when to use the parameter, failing to add value beyond the schema.

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 title "Get Presets" and description clearly state the tool lists available strategy presets with configurations. It is distinct from sibling tools which focus on betting, slates, or administration, though it does not explicitly differentiate from similar list tools.

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?

No guidance on when to use this tool versus alternatives. The only usage hint is "No auth required," which is helpful but insufficient for deciding between this and other 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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