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Idempotent

Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id. Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions). Supported types: "sec_8k" (8-K filings matching ticker + item codes — e.g. items:["5.02"] = officer change), "polymarket_edge" (Polymarket↔Kalshi cross-venue mispricings — params:{topic:"fed"}), "fred_series" (new FRED observations — params:{series_id:"UNRATE"}). Delivery channels: feed (always on — pull via recent_alerts or GET registry.pipeworx.io/alerts.json), and optionally email (set delivery:{email:"you@x.com"}) or sms (delivery:{sms:"+15551234567"} — phone must be verified at /account first; 10/day cap).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesSubscription type.
paramsYesType-specific filter. sec_8k: {ticker:"AAPL", items?:["5.02","1.01"]}. polymarket_edge: {topic:"fed", min_spread_bps?:500}. fred_series: {series_id:"UNRATE"}. patent_grant: {applicant:"Apple Inc."}. clinical_trial: {sponsor?:"Pfizer", condition?:"lung cancer", phase?:"PHASE3"} (sponsor or condition required).
deliveryNoOptional delivery channels in addition to the always-on persistent feed. {email:"you@x.com"} sends a templated alert per fired event. {sms:"+15551234567"} sends an SMS per event — must match the verified phone on the caller's account (verify at https://pipeworx.io/account first; 10/day cap). {webhook:"https://..."} POSTs each event JSON to your endpoint, HMAC-signed — the response includes delivery.webhook_secret (whsec_…) ONCE; verify X-Pipeworx-Signature = sha256 HMAC of "<X-Pipeworx-Timestamp>.<raw body>". Auto-disabled after 10 consecutive failing runs.

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Adds behavioral context beyond annotations: requires a Pipeworx OAuth account, cannot persist for anonymous/BYO, phone must be verified for SMS, and a 10/day cap. This enriches the write/idempotent hints provided by 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 densely informative with a logical order (purpose, return, requirements, types, delivery). No wasted sentences, though it omits webhook, which is a completeness issue, not a conciseness one.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers many important aspects (return id, auth, delivery channels), but it omits two subscription types and the webhook delivery channel—both present in the schema. While the schema compensates, the standalone description is incomplete for an agent relying on it alone.

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 description coverage is 100%, so baseline is 3, but the description adds specific examples for sec_8k, polymarket_edge, and fred_series params (e.g., items:["5.02"], topic:"fed", series_id:"UNRATE"), offering clarity beyond the schema's more generic text.

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?

Clearly states it creates a proactive monitoring subscription to a live-data event stream and returns the subscription id. Verb 'create' + resource 'subscription' distinguishes it from sibling tools like list_subscriptions and unsubscribe.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides context about OAuth requirements and mentions feed retrieval via recent_alerts, but the 'Supported types' list is incomplete—missing patent_grant and clinical_trial (present in schema). This could mislead an agent into thinking those types are unsupported, which is a significant gap in usage 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

A3.5/5.0
Disambiguation2/5

Several tools have overlapping purposes, e.g., multiple 'ask' tools (ask_pipeworx, ask_pipeworx_grounded, deep_research) and multiple 'compare' tools (compare_entities, scan_competitor_ai_presence). Descriptions are verbose but often don't clearly distinguish when to use each, causing confusion.

Naming Consistency1/5

Naming is highly inconsistent: snake_case (ai_visibility_check), camelCase (polymarket_fill_risk), and arbitrary prefixes (scan_, generate_, etc.). No consistent verb_noun pattern; e.g., 'query_layer' vs 'search_datasets' vs 'layer_info' all involve data retrieval but use different patterns.

Tool Count2/5

33 tools is excessive for a server purportedly focused on ArcGIS Carlsbad. Many tools are unrelated (e.g., polymarket betting, npm package scanning). The core ArcGIS functionality could be covered by 3-5 tools, but the server is bloated with Pipeworx utilities.

Completeness3/5

The ArcGIS portion lacks update/delete capabilities and is limited to querying. The Pipeworx tools cover a broad range of data sources but introduce many dependencies and meta-tools, creating a cluttered surface with dead ends (e.g., tools requiring paid accounts without fallback).