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MCP Predictive Market

MCP Predictive Market

by EricGrill
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_market_odds

Retrieve current prediction market odds for a specific market to analyze probabilities and make informed decisions.

Instructions

Get current odds for a specific market

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "platform": "<platform>",
      "market_id": "<market_id>"
    },
    "name": "get_market_odds"
  }
}

Input Schema

NameRequiredDescriptionDefault
platformYesPlatform name (manifold, polymarket, etc.)
market_idYesThe market's native ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action but doesn't add context on traits like whether this is a read-only operation, potential rate limits, authentication needs, or what the output looks like (e.g., format, freshness). This is a significant gap for a tool with no structured safety hints.

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?

The description is a single, efficient sentence with zero waste—it directly states the tool's purpose without redundancy or fluff. It's appropriately sized and front-loaded for quick understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (a data retrieval tool with no output schema and no annotations), the description is incomplete. It doesn't explain return values, error conditions, or behavioral traits, leaving the agent under-informed about how to interpret results or handle failures.

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 the schema already documents both parameters ('platform' and 'market_id') with clear descriptions. The description adds no additional meaning beyond implying these are needed to identify a market, which aligns with the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get') and resource ('current odds for a specific market'), making the purpose understandable. However, it doesn't distinguish this tool from potential siblings like 'search_markets' or 'get_tracked_markets' that might also retrieve odds-related data, so it misses full differentiation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., real-time vs. historical odds), or exclusions, leaving the agent to infer usage from the name alone.

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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