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by io.github.pipeworx-io

Polymarket Arbitrage

polymarket_arbitrage
Read-onlyIdempotent

Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a trending_scan of the top ~200 markets by weekly volume; pass event for the strongest per-event partition_check, or topic for a themed cross-event scan. event (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). topic (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventNoSingle-event mode (use this if you know the specific Polymarket event): event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k". Full Polymarket URLs also accepted.
topicNoCross-event mode (use this if you want to scan related events across the platform): a topic or seed question like "Fed rate decision" or "Strait of Hormuz traffic returns to normal". Tool searches Polymarket for related events and checks monotonicity across them.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • removedInput schema / anyOf
      Removed value: -[
-  {
-    "required": [
-      "event"
-    ]
-  },
-  {
-    "required": [
-      "topic"
-    ]
-  }
-]
  2. Changed3 schema fields changed
    • addedInput schema / anyOf
      Added value: +[
+  {
+    "required": [
+      "event"
+    ]
+  },
+  {
+    "required": [
+      "topic"
+    ]
+  }
+]
    • changedInput schema / properties / event / description
      Previous value: -"Single-event mode: Polymarket event slug (e.g. \"when-will-bitcoin-hit-150k\") or full URL."New value: +"Single-event mode (use this if you know the specific Polymarket event): event slug like \"fed-decision-may-2026\" or \"when-will-bitcoin-hit-150k\". Full Polymarket URLs also accepted."
    • changedInput schema / properties / topic / description
      Previous value: -"Cross-event mode: a topic or seed question. Tool searches Polymarket for related markets across separate events and checks monotonicity across them. E.g. \"Strait of Hormuz traffic returns to normal\"."New value: +"Cross-event mode (use this if you want to scan related events across the platform): a topic or seed question like \"Fed rate decision\" or \"Strait of Hormuz traffic returns to normal\". Tool searches Polymarket for related events and checks monotonicity across them."
  3. Added

TDQS

A4.9/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, but the description adds substantial behavioral detail beyond that: how partition checks work, placeholder filtering, the fill check against live CLOB depth, and explicit caveats like 'realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it.' No contradiction with annotations.

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?

The description is long but well-structured with labeled sections (SEMANTIC ANCHOR, PARTITION FILTER, FILL CHECK) and front-loaded with the core purpose and invocation modes. A few sentences could be trimmed without losing value, but it remains focused and information-dense.

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?

Despite lacking an output schema, the description fully documents the response shape (opportunities[], partition_check{...}), explains edge cases (thin_legs, skipped_low_similarity, placeholder fractions), and provides actionable trade/no-trade criteria. It also references a sibling tool for follow-up sizing, making it self-sufficient.

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

Parameters5/5

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

While schema coverage is 100%, the description enriches both parameters with concrete examples ('fed-decision-may-2026', 'Strait of Hormuz traffic returns to normal'), explains what each mode does, and clarifies accepted input forms ('Full Polymarket URLs also accepted'). This goes well beyond the schema's one-line descriptions.

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 opens with a specific verb+resource: 'Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks.' It clearly distinguishes from siblings by explaining its unique detection method and by pointing to polymarket_fill_risk for custom sizing.

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?

Explicit guidance is provided for each invocation mode: 'Call with NO args for a trending_scan', 'pass event for...', 'pass topic for...'. It also states when one mode is recommended over another ('event (recommended for a specific market)', 'topic (for cross-event scanning)') and names an alternative tool: 'For custom sizing use polymarket_fill_risk.'

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

A3.8/5.0
Disambiguation2/5

ask_pipeworx and ask_pipeworx_beta are explicitly described as currently identical, creating real ambiguity between two tools. The polymarket cluster (arbitrage, edges, fill_risk, edge_tracker, kalshi_spread, bet_research) has overlapping edge-finding purposes that rely on reading long descriptions to separate, and the DNS tools are so few that an agent cannot tell this is a 'dns' server at all.

Naming Consistency2/5

The set mixes at least four naming conventions: bare verbs (remember, forget, subscribe), verb_noun (dns_lookup, validate_claim, discover_tools), noun phrases (entity_profile, deep_research, recent_alerts), and brand-prefixed families (ask_pipeworx_*, polymarket_*, pipeworx_*). Each cluster is internally consistent, but the overall pattern is incoherent, including stray names like reverse_dns that invert the verb_first convention.

Tool Count2/5

At 34 tools this exceeds the 25+ threshold for a heavy surface, and the count is wildly mismatched to the server's name: only 3 of 34 tools (dns_lookup, dns_lookup_all, reverse_dns) relate to DNS. The remaining 31 tools belong to unrelated domains (data research, prediction markets, memory, subscriptions, npm scanning), making the toolkit feel like a mislabeled grab-bag rather than a scoped server.

Completeness3/5

Judged against the server's stated 'dns' purpose, coverage is thin: read-only lookups only, with no WHOIS, DNSSEC, zone management, or write operations. Judged against the dominant inferred domain (a data-research/prediction-market platform), the surface is quite complete — query, grounded verification, deep research, profiles, comparisons, claim validation, discovery, subscriptions, alerts, and feedback all exist — though there is no tool to directly read a pipeworx:// citation URI.

Resources