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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).

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, but the description adds substantial behavioral context: history depth limited by 60-day TTL, snapshots written on cache-miss creating gaps, decay from daily closes not intraday, and the meaning of expired opportunities. 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 clear sections (Args, RESPONSE, LIMITS). Each sentence carries useful information, and the organization aids readability, though it is denser than strictly necessary.

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 fully discloses the response structure (tracked[], expired[], snapshot_dates[]) and all major limitations (TTL, snapshot gaps, daily closes). It provides enough detail for an agent to understand what the tool returns and how to interpret it.

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?

The input schema already provides full descriptions for both parameters (days and window) with defaults and clamps. The description merely repeats these defaults and adds no new semantic meaning beyond what the schema offers, so the baseline score of 3 is appropriate.

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 'Edge persistence and decay telemetry' and answers a specific question: 'how long has this edge existed and is it shrinking?' It uses a specific verb and resource, distinguishing it from sibling tools like polymarket_edges by focusing on persistence/decay rather than just current edges.

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 provides clear context for when to use the tool (e.g., comparing a fresh wide edge vs a 3-week-old wide edge) but does not explicitly name alternatives or state when not to use it. It implies usage for historical edge analysis but lacks explicit exclusions.

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
Disambiguation3/5

Tools are generally distinguishable by name and description, but there are several similar query/verification tools (ask_pipeworx, ask_pipeworx_grounded, deep_research, validate_claim) and multiple meta-tools (discover_tools, suggest_questions), causing some ambiguity for agents.

Naming Consistency2/5

Naming conventions are inconsistent: some tools use verb_noun (search_projects, validate_claim), others are noun_preposition_noun (projects_by_country), single verbs (remember, forget), or compound phrases (generate_llms_txt). No clear pattern.

Tool Count1/5

33 tools is excessive for a server named 'Worldbank Projects', as only 3-4 tools directly relate to Worldbank data. The rest are generic Pipeworx utilities and unrelated domains, making the tool count inappropriate for the server's stated purpose.

Completeness1/5

For the domain of Worldbank Projects, only basic lookup and search tools are provided (search_projects, get_project, projects_by_country). Missing essential CRUD operations, filtering by sector/theme, or project lifecycle management. The server's tool surface is severely incomplete for its intended focus.