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Take The Meeting

by io.github.pipeworx-io

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. Added
  2. Removed
  3. Added

TDQS

A4.4/5.0
Behavior5/5

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

The description adds extensive behavioral context beyond annotations: explains data sources, time-series structure, trend computation, decay handling, and limitations like 60-day TTL and snapshot gaps. No contradictions 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 front-loaded with purpose and structured with clear sections (args, response format, limits). It is somewhat long but every sentence adds value, making it efficient.

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 fully explains response structure, trend classification, decay formula, and limitations. It covers all necessary information for correct usage.

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%, so baseline is 3. The description adds minor context (e.g., 'snapshot family' for window) but mostly repeats schema info. Slight discrepancy in max vs. clamp is minor.

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: tracking edge persistence and decay from daily snapshots. It answers specific questions and distinguishes itself from siblings like polymarket_edges by focusing on time-series analysis.

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 on when to use (to differentiate fresh vs. old edges) and implies alternatives by noting limitations like daily close data and history depth. It does not explicitly list when not to use, but the context is sufficient.

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

A3.7/5.0
Disambiguation3/5

Most tools have distinct, well-documented roles, but the set includes two effectively identical routers (ask_pipeworx and ask_pipeworx_beta, with the latter explicitly matching the former right now) and a dense cluster of six Polymarket tools that an agent must read carefully to choose among. This is more than a minor overlap, though the detailed descriptions prevent it from being complete chaos.

Naming Consistency3/5

Everything is snake_case, which is a plus, but the patterns are inconsistent: some tools are verb_noun (resolve_entity, validate_claim, list_subscriptions), some are noun phrases (entity_profile, bet_research, recent_alerts), some use brand prefixes (ask_pipeworx*, polymarket_*, pipeworx_*), and take_the_meeting_evaluate is a sentence-like outlier. The prefixes do provide grouping, but the naming doesn't give a predictable action structure.

Tool Count2/5

32 top-level tools is above the 25+ threshold and will bloat an agent's tool-selection surface, especially because the server name 'Take The Meeting' suggests a narrow meeting tool while 31 of the tools are unrelated Pipeworx/data features. Even as a broad data-research server, several tools could be collapsed (the ask variants, the Polymarket family), so the count feels inflated.

Completeness2/5

For the purpose implied by the server name and the lone meeting tool, the surface is severely incomplete: there is no way to list or fetch meetings, access calendar/attendee context, or do anything beyond evaluating one set of supplied parameters. For the broad data-research domain that most tools actually serve, the read/research side is rich, but that is a completely different purpose from 'Take The Meeting', leaving the meeting feature as a disconnected dead end.

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