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Polymarket–Kalshi Spread

polymarket_kalshi_spread
Read-onlyIdempotent

Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) topic — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit kalshi_event_ticker + polymarket_event_slug for custom pairings — BOTH modes run the identical token-overlap matcher, so the same disclosures apply to both. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning is a sentence and compatibility_codes[] the machine-readable form; BOTH can be non-empty on returned pairs, so read them even when matched_pairs>0. Codes: event_subject_mismatch (the two event titles share no subject words — probably not the same question), temporal_mismatch (they resolve in different months), temporal_alignment_unknown (the resolution month could not be parsed on one or both sides — NOT the same as confirmed-aligned; check each event's close/strike date yourself), non_equivalent_bet_shapes, no_candidate_pairs, unclassified_legs_excluded, pairing_unverified (set in EITHER mode whenever pairs are returned: the legs were matched by keyword and word overlap, not a shared resolution source). Each entry in top_spreads_pp carries its own flags[] (temporal_mismatch, temporal_alignment_unknown, event_subject_mismatch, low_token_overlap). A leg whose metric_type or match_subtype is "unknown" is NEVER paired — those comparisons land in spread.skipped_unclassified and, when the wording lined up, in spread.low_confidence_pairs[] for inspection only. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period, in EITHER mode; null means it could not be computed (see temporal_alignment_unknown), not that the two sides align. spread.fees_note is a standing disclosure: Kalshi charges per-contract trading fees, Polymarket does not, and this tool does not model Kalshi's fee schedule — every spread_pp is gross, not a net tradeable edge. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoPre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president
kalshi_event_tickerNoExplicit Kalshi event ticker, e.g. "KXFED-26OCT". Overrides the topic-mapped Kalshi side.
polymarket_event_slugNoExplicit Polymarket event slug, e.g. "fed-decision-in-june-825". Overrides the topic-mapped Polymarket side.

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint/openWorldHint/idempotentHint/non-destructive, and the description goes well beyond them: compatibility warnings can be non-empty even when matches exist, matching is unverified keyword overlap, Kalshi fees are unmodeled, unknown legs are never paired, and temporal_alignment null means uncomputed rather than aligned. No contradiction exists between the description and the 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 it is well-structured with clear signposts: TWO MODES, RESPONSE, SAFETY FIELDS, and a CODES list. Core purpose is front-loaded before safety detail. Some repetition exists, such as the repeated reminder that both modes behave the same way, so a 5 is not warranted, but the length is mostly justified by the safety nuance.

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 compensates thoroughly by enumerating the response structure (leg-by-leg prices, top_spreads_pp, flags[], temporal_alignment, skipped counters, fees_note) and by documenting failure/safety codes. For a complex comparison tool with optional parameters and zero output schema, an agent has enough information to call it correctly and interpret results. No essential behavior is missing.

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%, so the baseline is 3, but the description adds meaningful mode semantics: `topic` auto-fetches the matching event on each venue, and explicit ticker/slug parameters override the topic-mapped side. It also clarifies that both modes share identical matching and disclosure behavior. This enriches, rather than simply restates, 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?

The description opens with a specific function: computing the cross-venue spread between Kalshi and Polymarket for the same resolving question. It names the exact output metric ('spread_pp', Kalshi − Polymarket) and clarifies two input modes. The 'cross-venue' scope separates it from same-venue sibling tools even though no sibling names are mentioned.

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?

The description gives explicit mode-selection guidance: use a `topic` shortcut for pre-mapped macros, or use `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings, and states both modes run the same matcher. It also warns that most pre-mapped topics currently return a compatibility_warning and that pre-mapped is not tradeable. It does not explicitly contrast with sibling tools like polymarket_arbitrage or polymarket_edges, so it stops short of full when-not-to-use guidance.

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

C2.8/5.0
Disambiguation2/5

The set mixes two unrelated domains (Guild Wars 2 endpoints and a broad Pipeworx data-research suite), and within each there are near-duplicates: ask_pipeworx vs ask_pipeworx_beta are functionally identical, commerce_prices vs guild_wars_2_item_price vs commerce_listings overlap on Trading Post data, and ask_pipeworx/ask_pipeworx_grounded/deep_research all route questions to the same source catalog. An agent could easily select the wrong tool.

Naming Consistency3/5

Names are all snake_case and readable, but there is no consistent pattern: some are bare nouns (achievements, currencies, quaggans, worlds, build), some are verb_noun (resolve_entity, validate_claim, generate_llms_txt), some are ask_* (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded), and some are compound names (polymarket_kalshi_spread, guild_wars_2_item_price). Minor deviations would be fine, but this is a genuine mix of conventions.

Tool Count2/5

42 tools is far beyond the well-scoped range, and the majority are unrelated to the 'Guild Wars 2' server name (only ~11 tools are GW2 API endpoints; the rest are Pipeworx data-research/meta tools). This feels like two or three servers merged into one.

Completeness2/5

For a Guild Wars 2 server, the coverage is thin: it has items, prices, achievements, worlds, and WvW, but no recipes, guilds, characters, skills, maps, or PvE content. For the broader data-research domain implied by most tools, the surface is sprawling but still lacks depth in several areas. The result is a set that is neither complete for GW2 nor coherently scoped for anything else.