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ParlayAPI

parlayapi_live_command_center

Return the public best-line command center payload.

No API key required. Shows current games, participating books, and best available real prices on the /live dashboard preview. This is a discovery and demo surface, not a substitute for the paid odds endpoints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sport_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden. It discloses that no API key is required, that this is a public endpoint, and that it returns a preview payload. It also explicitly calls out the tool's limitation as a demo surface. It does not mention rate limits, data freshness, or mutation behavior, but for a read-oriented public preview endpoint this is reasonably transparent.

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?

The description is three concise sentences. The opening line delivers the core action, the second provides key auth and content details, and the third sets expectations. Every sentence earns its place without redundancy or filler.

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?

The description provides the essential operational context: what the tool returns, that it is public, and that it is not for paid odds use. Since an output schema exists, return-value documentation is not required here. The only notable gap is the absence of parameter semantics and potential rate-limit or freshness caveats, but the tool is simple enough that the overall picture is largely complete.

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%, and the description does not mention the 'limit' or 'sport_key' parameters at all. The parameter names offer some self-evident meaning, but there is no explanation of accepted sport_key formats, how limit interacts with results, or defaults. The description fails to compensate for the missing schema documentation.

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: 'Return the public best-line command center payload.' It further clarifies what it contains (current games, participating books, best available real prices) and frames it as a discovery/demo surface. It distinguishes from 'paid odds endpoints' as a category, but does not name sibling tools explicitly, so it falls just short of full sibling differentiation.

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?

The description gives clear context: it is a public, demo, and discovery surface, and explicitly states it is 'not a substitute for the paid odds endpoints.' This conveys when not to use it, but it does not name specific alternative tools or provide a direct when-to-use comparison, so it lacks explicit sibling routing.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools map to distinct workflows (raw odds, best-line, EV scan, arb, middle, single-bet grade, parlay grade), but several pairs are easy to mix up: find_ev vs best_bets both surface +EV opportunities, live_sports vs list_sports differ only in 'live', and verdict vs parlay_verdict have near-identical names. The detailed descriptions resolve most ambiguity, so it is not chaotic, but the boundaries are not all crisp.

Naming Consistency3/5

All names share the parlayapi_ prefix and snake_case, but the suffix style is inconsistent: some are verb-led (get_odds, find_arbitrage, set_bettable_books) and many are bare noun phrases (consensus, verdict, source_quality, magic_link). The live_* and best_* groups are internally consistent, but pairs like list_sports/live_sports and verdict/parlay_verdict add confusion.

Tool Count3/5

22 tools is on the heavy side for an MCP server, even though the sports-betting domain is broad. Each tool has a plausible purpose, but the public demo/metadata tools (live_command_center, book_coverage, source_quality, live_sports) could probably be consolidated or separated.

Completeness4/5

The surface covers the core domain well: sport discovery, game odds, props, consensus, best-line, EV, arbitrage, middles, single-bet verdicts, parlay verdicts, and account/signup flows. Minor gaps exist (no explicit book/market metadata list, no historical odds, no betting-account history), but agents can usually work around them.