Skip to main content
Glama

Subscribe to Alerts

subscribe
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

A4.4/5.0
Behavior4/5

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

Beyond annotations (readOnlyHint=false, idempotentHint=true, etc.), the description discloses authentication requirements, return value (subscription ID), and delivery channel behaviors (e.g., SMS cap, webhook secret). It adds context not present in annotations, such as the need for a verified phone.

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 well-structured, starting with core purpose, then listing types with examples, and finally delivery options. It is informative but slightly dense; could be more concise without losing essential details.

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

Completeness4/5

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

Given no output schema, the description mentions returning the subscription ID, which is adequate. It covers prerequisites, examples, and delivery details. However, it could elaborate on the ID format or mention that existing subscriptions can be listed via a sibling tool.

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?

The description adds extensive meaning beyond the input schema, providing concrete examples for each type's params (e.g., sec_8k items codes) and elaborating on delivery channel constraints (e.g., phone verification, 10/day SMS cap). This significantly aids parameter selection.

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 subscription to a live-data event stream with verb 'Create' and resource 'subscription'. It distinguishes from sibling tools like unsubscribe and list_subscriptions by focusing on creation.

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 explicit guidance on when to use (creating subscriptions) and mentions prerequisites (OAuth account, phone verification for SMS). It lists valid types and delivery options, though it lacks explicit exclusions for when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose described in detail. Even tools like ask_pipeworx, ask_pipeworx_grounded, and deep_research are differentiated by hallucination resistance, account requirements, and use cases. Polymarket tools are each specialized (arbitrage, edges, fill risk, etc.). No two tools appear to do the same thing.

Naming Consistency5/5

All tool names follow snake_case consistently. They use descriptive verb-noun patterns (e.g., ask_pipeworx, bet_research, compare_entities, subscribe). No mixing of conventions or ambiguous names.

Tool Count4/5

32 tools is on the higher side but justified by the server's broad scope covering company research, prediction markets, data lookups, memory, subscriptions, and more. Each tool serves a distinct function, though the count might feel slightly heavy for a single server.

Completeness4/5

The toolset covers core workflows for company analysis, prediction market operations, data retrieval, and system management (memory, subscriptions). Minor gaps exist (e.g., no direct tool for non-company entity profiles beyond drugs), but the overall surface is comprehensive for the intended multi-purpose assistant.