Skip to main content
Glama

Data Gov Sg

by io.github.pipeworx-io

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

A4.1/5.0
Behavior3/5

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

Discloses authentication needs, delivery constraints (phone verification, SMS cap), and type-specific parameters. However, does not clarify idempotentHint=true (whether repeated calls create duplicate subscriptions) or rate limits. No contradiction 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?

Description is well-structured, front-loading the core action and return value, then detailing types and delivery options. Efficiently conveys a lot of information without extraneous text.

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 the complexity (3 parameters, enum types, nested objects, multiple delivery channels) and lack of output schema, the description covers return value, type details, and delivery mechanics adequately. Could mention error handling or idempotency behavior.

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 coverage is 100%, but description adds significant value by explaining each type's parameters with concrete examples and clarifying delivery channel behavior. Goes beyond schema descriptions.

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?

Title and description clearly state the tool creates a proactive monitoring subscription to a live-data event stream, returning a new subscription ID. Distinguishes from siblings like list_subscriptions and unsubscribe 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?

Provides explicit details on when to use (proactive monitoring), authentication requirements (Pipeworx OAuth), supported types with examples, and delivery channel options. Does not explicitly state when not to use, but the context is sufficient for an agent.

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

All Data Gov Sg toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation2/5

Several tools have heavily overlapping purposes: ask_pipeworx and ask_pipeworx_beta are explicitly identical right now, and the Polymarket and company-research toolsets overlap significantly (bet_research vs polymarket_edges, entity_profile vs compare_entities vs recent_changes). Even with strong descriptions, an agent can easily misselect among these near-duplicate entry points.

Naming Consistency3/5

Names are readable but mix conventions: verb_noun forms (search_datasets, query_dataset, generate_llms_txt, validate_claim) coexist with noun/adjective forms (air_quality_pm25, taxi_availability, entity_profile, polymarket_edges). There is no single predictable pattern, though the domain-prefix style for Singapore data tools is consistent.

Tool Count2/5

40 tools is far too many for a server nominally scoped to Singapore government data. The bulk of the surface is a general-purpose Pipeworx/prediction-market/research toolkit that has nothing to do with Data Gov Sg, so the actual Singapore dataset tools are buried under dozens of unrelated capabilities.

Completeness4/5

For the core data.gov.sg use case, the surface is solid: search_datasets, get_dataset, and query_dataset cover dataset discovery and retrieval, supplemented by live-data tools (weather_now, air_quality_psi, traffic_incidents, taxi_availability, uv_index). The broader Pipeworx side also includes helpful auxiliary lifecycle tools like discover, subscribe, recent_alerts, memory, and feedback, so there are no critical dead ends.

Resources