Skip to main content
Glama

Nhtsa

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

A4.5/5.0
Behavior5/5

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

The description goes far beyond the raw annotations by disclosing important behavioral traits such as the OAuth requirement, phone verification, SMS daily cap, webhook signing secret, and auto-disable after 10 consecutive failing runs. It also notes that the subscription ID is returned and that webhook signing secret is shown only once. These details align with annotations (readOnlyHint=false, idempotentHint=true) without contradiction.

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 long but every sentence carries essential information: core action, requirement, type examples, delivery channels, and constraints. It is front-loaded with the purpose and returns value, then systematically details prerequisites and optional channels. No filler or redundant phrasing exists despite the complexity.

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 the tool's complexity (nested objects, multiple subscription types, delivery channels) and that no output schema exists, the description covers what the agent needs: the returned subscription ID, the webhook signing secret, and the disables on repeated failures. It also covers account prerequisites. The schema supplies additional type details, so the description is contextually complete for selection and invocation.

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

Parameters3/5

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

The schema already has 100% coverage, with detailed descriptions for every parameter and nested examples, so the baseline is 3. The tool description adds some examples and context (e.g., 'sec_8k' item codes), but it actually covers fewer types than the schema does (only 3 of 5), so it does not substantially raise the value beyond the schema.

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 opens with a clear, specific verb and resource: 'Create a proactive monitoring subscription to a live-data event stream.' It immediately identifies the tool's distinct function among siblings like list_subscriptions and unsubscribe, and adds that it returns the subscription ID. The supported types and delivery channels are enumerated, leaving no ambiguity about the tool's purpose.

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 states when the tool is appropriate, e.g., 'Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions)' and 'Delivery channels: feed (always on…)', implying it's for users who need to persist and receive alerts. It provides clear context but does not explicitly mention alternatives (e.g., 'for listing existing subscriptions use list_subscriptions'), so it stops short of an explicit when/not comparison.

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

All Nhtsa 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

A3.8/5.0
Disambiguation3/5

The descriptions are extraordinarily detailed and do a lot of work to differentiate tools, but there is real functional overlap: three ask_pipeworx variants, six Polymarket/bet tools (bet_research, polymarket_edges, polymarket_edge_tracker, polymarket_arbitrage, polymarket_fill_risk, polymarket_kalshi_spread) that all target identifying betting/value opportunities, and overlapping ai_visibility_check vs scan_competitor_ai_presence. A capable agent could navigate it, but misselection risk is high.

Naming Consistency3/5

Mostly snake_case and readable, but the verb/noun placement is inconsistent: verb-first (get_makes, list_subscriptions, resolve_entity, decode_vin) mixes with noun-first (entity_profile, bet_research, pipeworx_trending) and branded prefixes (ask_pipeworx, pipeworx_feedback, polymarket_*). No chaotic camelCase mixing, but no single predictable pattern either.

Tool Count2/5

37 tools is well beyond the heavy threshold, and the server named 'Nhtsa' carries only ~6 vehicle-specific tools while the rest is a general-purpose research platform spanning prediction markets, memory, npm packages, AI-marketing audits, and subscriptions. The scope is overloaded and the name badly misrepresents the content, making the surface feel sprawling rather than focused.

Completeness4/5

For the NHTSA vehicle domain it covers the lookup surface well (makes, models, recalls, complaints, safety ratings, VIN decode), and the broader research platform is genuinely deep with grounding, grounding-with-evidence, discovery, subscription, and memory support. Minor gaps exist (no direct vehicle-make year filtering beyond three fields, USPTO patent APIs are soft-failing), but no dead ends for core workflows.

Resources