Skip to main content
Glama

Manifold

Get Market

get_market
Read-onlyIdempotent

Get full detail for a single Manifold market by its URL slug or id. Provide exactly one of slug/id. For multiple-choice markets, returns each answer with its probability (top 12). Includes plain-text description, creator, volume, liquidity, and resolution. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoMarket id, e.g. "KmbNYfuOrUnI1w1GSHdb".
slugNoMarket URL slug — the part after manifold.markets/{user}/, e.g. "who-will-win-the-2026-california-gu".

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only and idempotent. Description adds specific behavioral traits: returns top 12 probabilities for multiple-choice, includes plain-text description, creator, volume, liquidity, resolution. Also notes 'Keyless' (no API key needed). No contradiction.

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 sentences, each adding value. Front-loaded with the core action. No filler words. Highly efficient.

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 simple retrieval tool with no output schema, the description covers all necessary aspects: purpose, parameter usage, response behavior, and key fields. No gaps.

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% with descriptions. Description adds critical semantic: 'Provide exactly one of slug/id', making the mutual exclusivity and requirement explicit 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?

Clearly states verb ('get'), resource ('full detail for a single Manifold market'), and identification method ('by its URL slug or id'). Distinguishes from sibling tools like search_markets by specifying 'single' and the exact identifiers.

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

Usage Guidelines4/5

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

Provides explicit constraint: 'Provide exactly one of slug/id.' Although it doesn't contrast with alternatives, the context of retrieving a single market by identifier is self-explanatory.

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.

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.