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Check news text against prediction markets

check_news
Read-only

Maps news text to the relevant Polymarket market and returns that market's current YES probability, flagging stale cache data when the match may be unreliable.

Instructions

Map a piece of news text to the relevant Polymarket market and return its current YES probability - the market's real, unmodified price, not a number synthesized from the text. That price is the crowd's current bet, not a verdict on whether the news is true. It also does not classify whether the news is dramatized or accurate relative to the market - that interpretation is left to the calling agent, which has both the original text and this market anchor. The probability comes from a precomputed cache refreshed on a cron cadence (can be up to ~2 hours stale) - for a live price before trading, call get_market with the returned marketId. If that cache looks abandoned rather than just late, the response adds cacheStale: true and cacheAgeHours - treat the match as unreliable and prefer get_market/a direct search when present.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.7

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only cover readOnlyHint/openWorldHint, and the description goes far beyond them: it discloses the price is the crowd's bet not a truth verdict, that it does NOT classify dramatization/accuracy, that values come from a cron-refreshed cache up to ~2 hours stale, and that an abandoned cache adds cacheStale/cacheAgeHours. This is unusually rich behavioral context.

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?

Front-loaded with the core purpose and return value, and each clause carries real signal (cache caveat, non-classification). It is dense and slightly long with embedded dashes, but almost no sentence is wasted.

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 carries the return burden and does it: YES probability, market match, marketId for follow-up, and cacheStale/cacheAgeHours failure signals. Nothing an agent needs to call and interpret it correctly is missing.

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?

One parameter with 0% schema description coverage, so the schema names 'text' but explains nothing. The description implies it is 'a piece of news text' but adds no length limit, format, or content guidance beyond the schema field name; borderline for a single obvious input.

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?

States a specific verb+resource ('Map a piece of news text to the relevant Polymarket market') and the exact return (current YES probability), and explicitly distinguishes itself from the sibling by naming get_market as the live-price alternative. An agent can tell what this does without opening anything.

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

Usage Guidelines5/5

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

Gives explicit when-to-use (map news to a market anchor), when-to-not-rely (stale/abandoned cache), and the alternative (call get_market with the returned marketId before trading). Routing conditions are spelled out, not inferred.

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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