Skip to main content
Glama

Search prediction markets

search_markets
Read-onlyIdempotent

Use this when the user asks about the odds, chances or likelihood of a real-world event, or what Polymarket or prediction markets say about something — for example "what are the odds the Fed cuts rates in October", "Polymarket odds for the 2028 election", "how likely is a US recession in 2026", "chances of Bitcoin hitting $150K this year", "what does the market say about a Ukraine ceasefire", "is there a prediction market on the 2028 Democratic nominee", "will the Fed cut rates in December", or "who will win the 2028 presidential election". Searches open Polymarket.com prediction markets and returns up to 10 closest matches (default 5), each with up to six outcomes' market-implied probabilities (outcomes the query names first, then the leaders, or a price ladder's rungs nearest 50%), 24-hour change and trading volume. For one market's full outcome list, rules and resolution status, use get_market_odds. Read-only: it cannot place trades, and the probabilities are crowd forecasts, not certainties or advice. Do not use this to choose a market or trader for the user to put money in; it reports data only. Do not call this when the user asks which market to buy or how to make a profit.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many markets to return (default 5)
queryYesThe event, person, team, asset or question in plain words, e.g. 'fed rate decision october', 'bitcoin 150k', '2028 presidential election'

Output Schema

NameRequiredDescriptionDefault
kindYes
itemsYes
queryYes
categoryYes
list_typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and non-destructive, and the description reinforces this while adding substantive context beyond the annotations: result cardinality (up to 10, default 5), outcome-selection ordering logic, inclusion of 24h change and volume, and the caveat that probabilities are crowd forecasts, not advice.

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 trigger and the tool's output shape, with exclusions at the end. The eight worked examples are genuinely useful for routing but take considerable space; the definition could be trimmed without losing clarity.

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?

For a two-parameter, read-only search with an output schema and full annotation coverage, the description covers triggers, output shape, sibling routing, and safety caveats. Nothing an agent needs in order to call it correctly is missing.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3: the schema already documents both parameters, including the default of 5 for limit. The description adds modest value by clarifying the query should be an event/person/team/asset in plain words and by implicitly linking named outcomes to result ordering.

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 (search) and resource (Polymarket prediction markets), and explicitly distinguishes itself from the sibling that handles deep single-market lookups (get_market_odds). An agent can route between the two without opening a schema.

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 concrete trigger phrases ('odds', 'chances', 'what does the market say'), names the alternative for a different need (get_market_odds for full outcome lists, rules, resolution status), and states two explicit exclusions: don't use it to pick a market to buy or to advise on profit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Directories

Listed in ChatGPT · PredictionScan

Last observed