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DanielTomaro13

sportsdata-mcp

polymarket_price_history

Read-onlyIdempotent

Retrieve historical price series for Polymarket outcome tokens using named intervals or explicit timestamps. Supports resolution and window parameters for flexible analysis.

Instructions

Historical price series for one outcome token — by named interval or an explicit ts window.

Returns: {history:[{t, p}]} (unix seconds, price 0-1)

Auth: none needed.

Also answers this: kalshi_candlesticks, kalshi_candlesticks_batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endTsNoWindow end (unix seconds).
marketYesCLOB token id (the API calls this param `market`).
startTsNoWindow start (unix seconds).
fidelityNoResolution in minutes.
intervalNoNamed lookback window (alternative to startTs/endTs). One of: 1h, 6h, 1d, 1w, 1m, max.

Schema Changelog

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

  1. Changed6 schema fields changedv0.24.0
    • addedInput schema / properties / endTs / description
      Added value: +"Window end (unix seconds)."
    • addedInput schema / properties / fidelity / description
      Added value: +"Resolution in minutes."
    • addedInput schema / properties / interval / description
      Added value: +"Named lookback window (alternative to startTs/endTs). One of: 1h, 6h, 1d, 1w, 1m, max."
    • addedInput schema / properties / interval / enum
      Added value: +[
      +  "1h",
      +  "6h",
      +  "1d",
      +  "1w",
      +  "1m",
      +  "max"
      +]
    • addedInput schema / properties / market / description
      Added value: +"CLOB token id (the API calls this param `market`)."
    • addedInput schema / properties / startTs / description
      Added value: +"Window start (unix seconds)."
  2. Addedv0.1.1

TDQS

A3.9/5.0
Behavior4/5

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

With readOnlyHint and idempotentHint annotations already present, the description adds valuable context by stating 'Auth: none needed' and specifying the exact return shape '{history:[{t, p}]}' with unix seconds and price 0-1. No annotation contradiction is present.

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 description is appropriately short, leading with the purpose and providing return shape and auth in three lines. The final line about kalshi_candlesticks is confusing and somewhat undermines the otherwise clear structure.

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 read-only historical price tool with full schema coverage and helpful annotations, the description covers the essentials: purpose, time selection, return format, and auth. It doesn't need to explain return values further since it explicitly provides the return shape, making it complete enough for an agent to invoke correctly.

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?

The schema already contains detailed descriptions for all five parameters (100% coverage), including the enum values for interval and the alternative relationship between interval and startTs/endTs. The description only reiterates the two query modes, adding little beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Historical price series for one outcome token — by named interval or an explicit ts window,' which clearly identifies the verb (historical price series), resource (one outcome token), and two query modes. This distinguishes it from sibling price tools like polymarket_price and polymarket_spread, which likely serve other purposes.

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 description implies usage by stating both named interval and explicit ts window options, but does not explicitly say when to prefer this over alternatives such as polymarket_price or the Kalshi candlestick tools. The closing line 'Also answers this: kalshi_candlesticks, kalshi_candlesticks_batch' is ambiguous and could be interpreted as a compatibility note rather than a clear usage directive.

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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