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by io.github.pipeworx-io

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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. Changed2 schema fields changed
    • changedInput schema / properties / delivery / description
      Previous value: -"Optional 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). Capped at 10 SMS/day per subscription."New value: +"Optional 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."
    • addedInput schema / properties / delivery / properties / webhook
      Added value: +{
+  "description": "HTTPS URL to POST fired events to. https only; localhost/private hosts rejected. Signing secret returned once at subscribe time.",
+  "type": "string"
+}
  2. Changed2 schema fields changed
    • changedInput schema / properties / params / description
      Previous value: -"Type-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.\"} (use exact corporate form — match is approximate so wrong suffix returns the whole pool; payload flags the case)."New value: +"Type-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)."
    • changedInput schema / properties / type / enum
      Previous value: -[
-  "sec_8k",
-  "polymarket_edge",
-  "fred_series",
-  "patent_grant"
-]New value: +[
+  "sec_8k",
+  "polymarket_edge",
+  "fred_series",
+  "patent_grant",
+  "clinical_trial"
+]
  3. Changed3 schema fields changed
    • changedInput schema / properties / params / description
      Previous value: -"Type-specific filter. For sec_8k: {ticker:\"AAPL\", items?:[\"5.02\",\"1.01\"]}. items defaults to all if omitted."New value: +"Type-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.\"} (use exact corporate form — match is approximate so wrong suffix returns the whole pool; payload flags the case)."
    • changedInput schema / properties / type / description
      Previous value: -"Subscription type. v1: \"sec_8k\"."New value: +"Subscription type."
    • changedInput schema / properties / type / enum
      Previous value: -[
-  "sec_8k"
-]New value: +[
+  "sec_8k",
+  "polymarket_edge",
+  "fred_series",
+  "patent_grant"
+]
  4. Changed1 schema field changed
    • addedInput schema / properties / delivery
      Added value: +{
+  "description": "Optional 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). Capped at 10 SMS/day per subscription.",
+  "properties": {
+    "email": {
+      "description": "Email address to deliver alerts to. Validated against a standard pattern.",
+      "type": "string"
+    },
+    "sms": {
+      "description": "E.164 phone number, e.g. \"+15551234567\". Must match the account's verified phone.",
+      "type": "string"
+    }
+  },
+  "type": "object"
+}
  5. Added

TDQS

A4.8/5.0
Behavior5/5

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

The description goes well beyond annotations, detailing required OAuth account, subscription types with examples, delivery channels (email, SMS, webhook) with limitations (10 SMS/day, webhook auto-disable after 10 failures), and authentication requirements. Annotations only provide idempotentHint and readOnlyHint, but the description adds rich behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured, starting with the core purpose, then listing types and delivery options. Every sentence adds value without redundancy. It is concise given the complexity of the tool.

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 covers the return value (subscription ID), all parameters, constraints, and edge cases (SMS verification, webhook secret). It is self-contained and sufficient for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage, the description adds significant meaning beyond the schema by providing concrete examples for each subscription type and explaining delivery channel behaviors. It clarifies the format and constraints of parameters like delivery channels.

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 creates a proactive monitoring subscription and returns a new subscription ID. It specifies the resource (live-data event stream) and distinguishes from siblings 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 Guidelines4/5

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

The description explains when to use the tool (for setting up alerts) and provides detailed type-specific parameters and delivery options. It does not explicitly contrast with sibling tools but clearly establishes its own role.

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
Disambiguation4/5

The 11 fb_* Facebook tools are clearly separated by resource (account vs campaign vs adset) and action (list vs get vs create), and the Pipeworx research tools each have distinct roles (router, grounded, profile, compare, research). However, ask_pipeworx, ask_pipeworx_beta, and deep_research overlap in routing/fan-out behavior, and ai_visibility_check vs scan_competitor_ai_presence are near-identical in purpose, creating some ambiguity.

Naming Consistency3/5

The 11 fb_* tools follow a consistent fb_verb_noun pattern (except fb_get_campaign vs fb_list_*), but the remaining 25+ tools mix verb-first (ask_pipeworx, compare_entities, resolve_entity), noun-first (entity_profile, recent_changes, polymarket_edges), and generic names (forget, recall, remember). Pipeworx tools use verb_noun mostly consistently (ask_pipeworx, discover_tools, resolve_entity) but the overall set blends two naming cultures without a unifying prefix or pattern.

Tool Count3/5

36 tools is on the heavy side for one server. The Facebook ads domain only needs ~11 tools, while the rest are a sprawling Pipeworx research/meta platform (memory, subscription, prediction-market, web-tooling, AI-visibility) that feels like several servers merged into one. Each area is internally coherent, but as a single MCP server the count is bloated.

Completeness4/5

The Facebook ads surface covers list accounts/campaigns/adsets and read campaigns/insights, but notably lacks create/update/delete operations for campaigns and adsets, so the ad-management workflow has dead ends. The Pipeworx research side is extremely complete for data lookup (router, grounded, deep research, entity profiles, comparisons, verification), though the memory/subscription tools introduce a separate domain that is only thinly supported.

Resources