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polymarket-paper-trader

Watch prices

watch_prices
Read-onlyIdempotent

Fetch live midpoint prices for multiple Polymarket markets and outcomes in one call without changing data. Use it to monitor many markets at once.

Instructions

Get live midpoint prices for several markets and outcomes in one call.

Reads live data and changes nothing. Use get_order_book for depth on one market, or portfolio for prices of the positions you hold.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugsYesComma-separated market slugs or condition IDs, e.g. 'slug-a,slug-b'. Markets that cannot be fetched are skipped.
outcomesNoComma-separated outcomes to price, e.g. 'yes,no'. Default 'yes'.yes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.4.13
    • addedInput schema / properties / outcomes / description
      Added value: +"Comma-separated outcomes to price, e.g. 'yes,no'. Default 'yes'."
    • addedInput schema / properties / slugs / description
      Added value: +"Comma-separated market slugs or condition IDs, e.g. 'slug-a,slug-b'. Markets that cannot be fetched are skipped."
  2. First observedv0.4.1

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so 'Reads live data and changes nothing' largely restates structured data. The useful addition is the bulk semantics (multiple markets in one call), but it omits anything about freshness, latency, or partial-failure reporting beyond what the schema already says about skipped markets.

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 short sentences, front-loaded with what it retrieves before the routing guidance. Every clause earns its place with no filler.

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?

Output schema exists, so return-format explanation is unnecessary. Scope, safety, batch behavior, and sibling alternatives are all covered, which is everything an agent needs to call this correctly.

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% with clear examples for both parameters, so the schema already carries the syntax burden. The description's 'several markets and outcomes' merely echoes those fields without adding format or edge-case detail, so baseline 3 applies.

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 (get), resource (live midpoint prices), and scope (several markets and outcomes in one call), which immediately differentiates it from the single-market and position-oriented siblings. An agent can identify the tool without opening the 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?

Explicitly routes the agent: get_order_book for depth on one market, portfolio for prices of held positions. It names the alternatives and the condition that selects each, leaving nothing to inference.

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