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

A4.3/5.0
Behavior4/5

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

The description adds significant behavioral context beyond annotations: OAuth requirement, rate limits (10/day cap), phone verification, and delivery channel behavior. It does not explicitly address idempotency (though annotated idempotentHint=true), but overall transparency is high.

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 the main purpose and prerequisites, followed by types and delivery details. It is dense but not overly verbose; minor improvement could be bullet points for readability.

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?

Given no output schema, the description effectively covers return value, all parameter semantics, delivery options, and constraints. It reasonably prepares an agent to invoke the tool 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 enriches parameter meaning with concrete examples, type-specific filters, and delivery channel semantics (e.g., webhook HMAC signing, auto-disable). This goes well beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 an ID. It distinguishes the tool from siblings (like list_subscriptions, unsubscribe) by implicating creation, but does not explicitly compare to siblings.

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 specifies prerequisites (Pipeworx OAuth account) and provides usage context for different subscription types. However, it does not explicitly state when not to use this tool or mention alternatives among siblings.

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

A4/5.0
Disambiguation3/5

Most tools have distinct jobs and the descriptions are unusually detailed with cross-references, but there is real overlap in the ask_pipeworx family (ask_pipeworx_beta is explicitly identical to ask_pipeworx right now), the Polymarket edge/arbitrage cluster, and some company-research tools. An agent can usually pick correctly, but only after reading long descriptions carefully.

Naming Consistency3/5

All names are snake_case and many are clear verb_noun forms like estimate_emissions or list_subscriptions, but the set also contains descriptive noun phrases (entity_profile, recent_changes, ai_visibility_check), brand-prefixed names (pipeworx_feedback, polymarket_edges), and bare memory verbs (remember, recall, forget). This is a readable but mixed convention rather than one predictable pattern.

Tool Count2/5

34 tools is well above the comfortable ceiling, and the set bundles several unrelated domains: Climatiq emissions, Pipeworx data research, prediction-market analytics, memory, subscriptions, AI visibility, llms.txt generation, and npm dependency checks. It feels heavy and redundant, with ask_pipeworx_beta and the AI-visibility pair as candidates for removal or merging.

Completeness4/5

The core query workflows are well covered: emission factors lead into estimation, general lookups have plain/grounded/deep variants, claim validation and entity profiles exist, and subscriptions/memory have full lifecycles. The main gaps are minor—no batch emissions endpoint or direct order execution—so agents can work around them.