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Keyless live board

get_live_board
Read-onlyIdempotent

No key and no quota. Real, current stored observations, delayed and capped per league: feed board is Pick6 props with More and Less multipliers, sportsbook is moneyline, spread and total per game, line-moves is recent Pick6 and sportsbook moves. Each answer states generated_at; report it with the rows.

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": {
      "feed": "<feed>"
    },
    "name": "get_live_board"
  }
}

Input Schema

NameRequiredDescriptionDefault
feedYes
limitNo
leagueNoLeague slug such as nba, nfl, nhl, cfb, cbb. Omit for every league.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare this read-only, idempotent, non-destructive and closed-world, so the safety profile needs no restating. The description adds genuinely non-obvious behavior: data is stored rather than streaming, is delayed and capped per league, and every response carries a generated_at value the caller is instructed to surface. The only gap is that 'capped' is not quantified.

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?

Three dense sentences, front-loaded with the key constraint ('no key and no quota') before the per-feed breakdown. The telegraphic phrasing ('feed board is...') is terse but never ambiguous, and nothing is wasted.

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?

For a three-parameter read tool with no output schema, the description covers auth requirements, freshness caveats, per-feed content, and the generated_at contract. Missing only limit semantics and any hint of result ordering or pagination behavior.

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 coverage is 33% and only league carries a schema description, so the description must compensate — and it does, explaining the meaning of all three feed enum values in concrete terms (what markets each contains). The limit parameter is left unexplained beyond 'capped per league', which is the remaining hole.

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 resource — a live board of stored observations — and enumerates exactly what each of the three feed values returns (Pick6 props with More/Less multipliers, moneyline/spread/total, recent line moves). An agent can tell what it gets back without opening the schema, though the description never names a sibling tool to contrast against.

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

Usage Guidelines3/5

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

'No key and no quota' implies the selecting condition — use this when unauthenticated or rate-limited — but the guidance is indirect and never says when to prefer it over siblings like get_pick6_stream_snapshot, get_sportsbook_snapshot, or get_pick6_line_history. Usage is inferable rather than stated.

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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