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Prediction Markets Quant

Best Available (Draft)

best_available
Read-only

Given the current pick number and the players already drafted, return the best players still on the board (2026, any scoring format), each with projection, ADP, and a value flag, plus the biggest model value available. The full remaining pool is FREE — no key, no email. Pro adds boom/bust week odds and the positional tier breaks across everyone still on the board. Prefer this mid-draft when the user asks "who is the best available", "who should I take next", "best player left". Input: pick_number, drafted (names already gone).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changed
    • removedInput schema / properties / drafted
      Removed value: -{
      -  "description": "Player names already drafted (any team). Removed from the pool.",
      -  "items": {
      -    "type": "string"
      -  },
      -  "type": "array"
      -}
    • removedInput schema / properties / pick_number
      Removed value: -{
      -  "description": "The overall pick number that is on the clock.",
      -  "maximum": 400,
      -  "minimum": 1,
      -  "type": "integer"
      -}
    • removedInput schema / properties / platform
      Removed value: -{
      -  "anyOf": [
      -    {
      -      "type": "string"
      -    },
      -    {
      -      "enum": [
      -        "yahoo",
      -        "espn",
      -        "sleeper",
      -        "nfl",
      -        "cbs",
      -        "fantrax",
      -        "draftkings",
      -        "underdog"
      -      ],
      -      "type": "string"
      -    }
      -  ],
      -  "description": "League platform — applies its default scoring, size, roster + best-ball settings (overridable by explicit scoring/teams). Underdog/DraftKings are best ball. One of: yahoo · espn · sleeper · nfl · cbs · fantrax · draftkings · underdog."
      -}
    • removedInput schema / properties / roster
      Removed value: -{
      -  "description": "Player names on the USER's team — enables a bye-stack warning on the top pick (byes are shown per-player regardless).",
      -  "items": {
      -    "type": "string"
      -  },
      -  "type": "array"
      -}
    • removedInput schema / properties / scoring
      Removed value: -{
      -  "anyOf": [
      -    {
      -      "type": "string"
      -    },
      -    {
      -      "enum": [
      -        "standard",
      -        "half_ppr",
      -        "ppr"
      -      ],
      -      "type": "string"
      -    }
      -  ],
      -  "description": "Scoring format: standard, half_ppr (default), or ppr (full PPR). Overrides a platform preset. Works for Yahoo/ESPN/Sleeper defaults. One of: standard · half_ppr · ppr."
      -}
    • removedInput schema / properties / teams
      Removed value: -{
      -  "description": "League size (number of teams) for draft-round math. Overrides the platform default; falls back to 12.",
      -  "maximum": 20,
      -  "minimum": 4,
      -  "type": "integer"
      -}
    • removedInput schema / required
      Removed value: -[
      -  "pick_number"
      -]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds that no key/email is needed and that Pro unlocks boom/bust odds and positional tier breaks, which is useful context about access and feature gating. It does not contradict the annotations.

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 core behavior is front-loaded, followed by pricing/access notes and usage triggers. It is reasonably concise, though the 'FREE — no key, no email' and 'Pro adds...' sentences are somewhat promotional and not strictly required for invocation.

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

Completeness5/5

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

With no output schema, the description supplies the return content (projection, ADP, value flag, biggest model value), the intended input, the draft/season context, and when to use it. This is complete enough for an agent to call and interpret the tool.

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

Parameters5/5

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

The input schema declares no parameters, so the description carries the full burden. It clearly specifies the two inputs, pick_number and drafted, and explains what they mean ('current pick number', 'names already gone'), giving an agent enough to invoke the tool correctly despite the empty 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 description uses a specific action ('return the best players still on the board') and resource, and it defines the domain (2026, any scoring format) and output fields. It is clear, but it does not explicitly differentiate itself from sibling tools such as who_do_i_draft or draft_board, so the purpose is clear but not distinguished.

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?

It gives explicit trigger phrases ('who is the best available', 'who should I take next', 'best player left') and a time context ('mid-draft'), which tells an agent when to prefer it. It does not list exclusions or alternate tools, so it falls just short of full alternative-routing guidance.

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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