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Executable all-in quote on one venue

get_executable_quote
Read-only

Get an independent Polymarket all-in order-book quote, including estimated taker fees and depth. Kalshi requests return only identifiers and a notice; see https://voxodds.com/polymarket-vs-kalshi for human comparisons.

Input Schema

NameRequiredDescriptionDefault
sideNoOutcome to buy, usually 'Yes' or 'No'Yes
platformYes'polymarket' or 'kalshi'
market_idYesPolymarket market id or Kalshi ticker
amount_usdNoAll-in budget in USD, estimated taker fees included

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / amount_usd / description
      Added value: +"All-in budget in USD, estimated taker fees included"
    • addedInput schema / properties / market_id / description
      Added value: +"Polymarket market id or Kalshi ticker"
    • addedInput schema / properties / platform / description
      Added value: +"'polymarket' or 'kalshi'"
    • addedInput schema / properties / side / description
      Added value: +"Outcome to buy, usually 'Yes' or 'No'"
  2. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, openWorldHint), and the description adds real behavioral context beyond them: the quote is independent, it includes estimated taker fees and depth, and Kalshi returns degraded identifier-only results. That last point materially changes what an agent should expect from a valid call.

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?

Two tight sentences: the core capability first, then the platform-specific exception. Every clause carries information; the documentation URL is the only mildly expendable element.

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?

An output schema exists, so return-shape explanation is unnecessary, and the caveat about Kalshi's reduced output is exactly the kind of pre-call expectation an agent needs. Missing only explicit guidance on when to prefer the multi-venue comparison sibling.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents side, platform, market_id, and amount_usd with defaults. The description adds nothing about parameter formats or constraints, so the baseline 3 applies.

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?

States a specific verb+resource ("Get an independent Polymarket all-in order-book quote") and scopes it to a single venue, which implicitly contrasts with the sibling compare_executable_quotes. It does not name that sibling outright, so an agent must infer the multi-venue alternative.

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?

The Kalshi caveat ("requests return only identifiers and a notice") implies Polymarket is the useful path for real quotes, and "one venue" implies compare_executable_quotes is the multi-venue option. However, there is no explicit when-to-use/when-not statement or named alternative, leaving routing to inference.

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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