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dataline-xyz

Dataline MCP Server

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by dataline-xyz

search_prediction_events

Search prediction market events on Polymarket and Kalshi using a keyword, slug, or ticker. Get matching events with markets and outcome probabilities.

Instructions

Search prediction market events by keyword, slug, or ticker-like text on Polymarket and Kalshi. Returns matching events with markets and outcome probabilities. Query must be at least 3 characters. Use get_odds_event_list to browse without a keyword.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch keyword, slug, or ticker. Min 3 characters.
statusNoFilter by event status. Default 'open' — use 'all' only when you need historical events.open
sortNoSort order for resultsrelevance
pageNoPage number for pagination
limitNoResults per page
Behavior4/5

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

No annotations provided, so description carries full burden. It implies read-only search behavior, mentions output contains events/markets/probabilities. Could explicitly state non-destructive nature but sufficient.

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 concise sentences, front-loaded with action, no wasted words. Includes essential constraint and sibling tool reference.

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?

Describes inputs, output, and constraint. With 5 parameters all well-described in schema, and no output schema needed, description is nearly complete. Could mention pagination explicitly but minor.

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 baseline 3. Description adds search context but no new parameter semantics beyond schema. Adequate.

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?

Clearly states the tool searches prediction market events by keyword, slug, or ticker on Polymarket and Kalshi. Returns matching events with markets and outcome probabilities. Distinguishes from sibling get_odds_event_list.

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?

Explicitly says to use get_odds_event_list for browsing without a keyword. Also mentions query length minimum. Schema further specifies default status and enum options.

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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