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Polymarket Edge Tracker

polymarket_edge_tracker
Read-onlyIdempotent

Edge persistence and decay telemetry built from daily polymarket_edges snapshots. Answers "how long has this edge existed and is it shrinking?" — a fresh wide edge and a 3-week-old wide edge are different trades (the latter is wide for a reason nobody is willing to take). Args: days (lookback, default 14, max 30), window (snapshot family, default "1wk"). RESPONSE: tracked[] = every opportunity in the LATEST snapshot with its full edge_pp_net time-series across prior snapshots, first_seen, trend (new | widening | stable | decaying) and decay_pp_per_day (both computed on |edge_pp_net| — the value itself is signed by trade direction, negative = SELL YES); expired[] = opportunities that appeared in earlier snapshots but are GONE from the latest (closed, resolved, or arbed away) with their lifespan_days — the median lifespan is your competition clock; snapshot_dates[] = which days actually have data (snapshots are written when polymarket_edges runs on a cache-miss, so gaps mean nobody scanned that day). LIMITS: history depth is bounded by the 60-day snapshot TTL and starts from when snapshotting was enabled; decay numbers come from daily closes of edge_pp_net (net of default slippage), not intraday.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLookback in days (default 14, clamp 2-30).
windowNoWhich polymarket_edges window family to read snapshots for: 24hr | 1wk | 1mo (default 1wk).

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds extensive behavioral details: data source (daily snapshots), response structure (tracked[], expired[], snapshot_dates[]), computed fields (trend, decay_pp_per_day), interpretation notes (negative = SELL YES), and limitations (60-day TTL, cache-miss gaps). 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 dense with information but front-loads the core question. It is slightly long but every sentence adds value. Could be improved with bullet points or clearer separation of response fields.

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 no output schema, the description thoroughly explains the response format (tracked, expired, snapshot_dates with their sub-fields), interpretation of metrics, and limits. This fully compensates for the missing output schema in helping the agent understand what to expect.

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 coverage is 100% with parameter descriptions. The description adds context like 'default 14' and 'snapshot family' but mostly reiterates schema content. Baseline of 3 is appropriate as the description adds minimal value beyond 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 clearly states the tool's purpose: 'Edge persistence and decay telemetry built from daily polymarket_edges snapshots.' It answers a specific question about edge longevity and distinguishes itself from sibling tools like polymarket_edges by focusing on time-series analysis rather than current snapshots.

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 implies when to use (to understand edge persistence) and contrasts fresh vs. old edges, but does not explicitly state when not to use this tool or provide direct alternatives. The sibling list includes polymarket_edges, but the description assumes the user will infer the distinction.

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

A3.6/5.0
Disambiguation3/5

Tools like ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are very similar, causing potential confusion. The open_payments_* tools are clearly differentiated, but the mix of generic Pipeworx tools with domain-specific ones creates overlapping purposes.

Naming Consistency2/5

Tool names mix conventions: some use snake_case (ask_pipeworx, open_payments_company), while others use less consistent patterns (deep_research, generate_llms_txt). The open_payments_* tools have a consistent prefix, but the overall set lacks a unified naming scheme.

Tool Count2/5

With 41 tools, the server is heavily overloaded for a domain focused on CMS Open Payments. The majority of tools are general-purpose Pipeworx tools unrelated to the server's name, making the count feel excessive and unfocused.

Completeness3/5

The open_payments_* tools cover the CMS Open Payments domain well (search, company, physician, history, etc.). However, the inclusion of many unrelated Pipeworx tools means the server as a whole is not cohesive, and the completeness of the named domain is overshadowed.