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Manifold

Search Markets

search_markets
Read-onlyIdempotent

Search Manifold Markets prediction markets by topic or question text. Returns markets with current probability (for binary), trading volume, liquidity, bettor count, and resolution status. Manifold is a play-money venue with tens of thousands of user-created markets on any topic. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort order: score | newest | liquidity | most-popular. Default "score".
termYesTopic or question text to search for, e.g. "2026 election", "AGI", "Bitcoin 100k".
limitNoMax markets to return (default 10, max 25).
filterNoMarket state filter: all | open | closed | resolved. Default "open".
contract_typeNoMarket type filter: ALL | BINARY | MULTIPLE_CHOICE. Default "ALL".

TDQS

A3.8/5.0
Behavior3/5

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

Annotations declare read-only, idempotent, and non-destructive. The description adds context about return fields and venue nature (play-money, user-created), but does not disclose additional behavioral traits beyond what annotations already provide. No contradictions.

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 sentences: first covers purpose and outputs, second adds venue context. No unnecessary words, front-loaded with key information.

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 search tool with 5 parameters and no output schema, the description explains return fields and venue context adequately. Slight lack of details on default parameter values, but overall complete for the complexity.

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 parameters are fully documented. The description does not add meaning beyond the schema (e.g., doesn't clarify default values or behavior of sort). Baseline 3 is appropriate.

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 clearly states the tool searches prediction markets by topic or question text, listing return fields. This specifies the verb and resource, and distinguishes from siblings like get_market (specific market) and top_markets (popular markets).

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 mentions 'Keyless' implying no API key needed, but does not explicitly guide when to use this tool versus alternatives among siblings. Usage context is implied by the purpose but lacks explicit when-not or alternative guidance.

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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TDQS

A4/5.0
Disambiguation3/5

Tools have distinct purposes but some overlap exists, e.g., multiple ask_pipeworx variants and deep_research could confuse an agent. Prediction market tools are differentiated but not immediately obvious.

Naming Consistency3/5

Names are consistently in snake_case but mix verb and noun orders (e.g., 'ai_visibility_check' vs 'ask_pipeworx'). No strict verb_noun pattern throughout.

Tool Count3/5

34 tools is on the high side but still reasonable given the broad domain coverage. Some tools could be consolidated without loss.

Completeness4/5

Covers data querying, company research, prediction markets, subscriptions, and memory. Minor gaps like no direct web search but ask_pipeworx substitutes.