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Polymarket Fill Risk

polymarket_fill_risk
Read-onlyIdempotent

Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of market (single-market mode) or event (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNoSingle-market: buy_yes | sell_yes | buy_no | sell_no (default buy_yes). Basket: sell_yes | buy_yes (default auto — sell if partition sum > 1, buy if < 1).
eventNoBasket mode: event slug or full polymarket.com URL — checks every leg of the partition.
marketNoSingle-market mode: market slug or full polymarket.com URL.
size_usdNoSingle-market: USD to spend (buys) or target proceeds (sells). Basket: settlement notional — shares per leg, each paying $1 at resolution. Default 1000, clamp 10–1,000,000.

Schema Changelog

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

  1. Added
  2. Removed
  3. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations (readOnlyHint, idempotentHint, openWorldHint) already establish the non-destructive, read-only nature. The description adds substantial behavioral detail beyond that: it walks the ladder, computes VWAP/slippage, returns a verdict (clean|degraded|cannot_fill), and in basket mode reports per-leg fill details and forced_directional_risk. This materially exceeds what annotations convey.

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 every sentence earns its place for a two-mode tool with no output schema. It front-loads the core purpose, then systematically covers requirements, mode-specific behavior, return fields, and usage guidance. It could be improved with bullet points, but the density is justifiable given the tool's complexity.

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?

With no output schema, the description must explain return values, and it does so comprehensively: top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, verdict; then for basket mode theoretical_sum vs realizable_sum, capture_ratio, profit_usd, thin_legs, max_clean_notional_usd, forced_directional_risk. It also covers prerequisites and failure modes, making it complete for a pre-trade risk-check tool.

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 baseline is 3. The description repeats the schema's parameter descriptions almost verbatim (e.g., side options, size_usd 'max spend on buys, target proceeds on sells'), adding no new per-parameter meaning. It does add the implicit one-of requirement for market/event, but that is more of a usage constraint than a semantic enrichment.

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 clear verb+resource: 'Realizable-vs-theoretical edge check against live CLOB order-book depth.' It further differentiates two modes (single-market vs basket) and explicitly names sibling tools (polymarket_arbitrage, polymarket_edges) to distinguish its role as a pre-trade validation step.

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?

The description states exactly when to use this tool: 'USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500.' It also explains why, citing thin-book uncapturable overround and partial-fill directional risk, which gives clear context and an exclusion threshold.

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

B3.4/5.0
Disambiguation2/5

Multiple tools have overlapping purposes: ask_pipeworx and ask_pipeworx_beta are functionally identical (beta just has experimental routing), and the Polymarket suite (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread) all revolve around prediction-market signal detection with unclear boundaries. Also ai_visibility_check and scan_competitor_ai_presence overlap heavily.

Naming Consistency2/5

Naming is a mix of verb-first (draw_cards, resolve_entity, discover_tools) and noun-first (entity_profile, new_deck, recent_alerts) styles, with inconsistent prefixes (pipeworx_feedback vs ask_pipeworx) and no unifying convention. Some tools are bare verbs (recall, remember), others are noun phrases (polymarket_edges).

Tool Count2/5

34 tools is excessive for a server named 'deckofcards' — only 3 tools relate to cards. Even as a general-purpose data/research server, 34 is on the high end and includes many near-duplicates (ask_pipeworx variants) and highly specialized tools that could be consolidated.

Completeness3/5

The research side is fairly complete (lookup, grounding, comparison, profiles, claim verification, memory, subscriptions), but the card-deck functionality is minimal (only create, draw, shuffle) and lacks any deck inspection or hand management. The server's scope is unclear, making it hard to assess true coverage.