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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. First observed

TDQS

A4.6/5.0
Behavior5/5

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

The description adds significant behavioral context beyond annotations: idempotentHint is disclosed via 'Returns the new subscription id' and details like phone verification, 10/day SMS cap, and webhook auto-disable after 10 failures. This complements the annotations effectively.

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 dense but well-structured, using examples and conditionals. However, it could be slightly more concise or broken into subsections for readability.

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?

The description covers return value, prerequisites, supported types, and delivery details. Missing error handling or failure scenarios, but overall complete for a creation tool without output schema.

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?

Despite 100% schema coverage, the description adds rich semantics: examples for type and params (e.g., 'sec_8k: items:["5.02"] = officer change'), delivery channel constraints (phone verification, webhook signing), and type-specific filters. This greatly aids agent understanding.

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's purpose: 'Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id.' This distinguishes it from siblings like 'unsubscribe' and 'list_subscriptions'.

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 clear context for use: requires a Pipeworx OAuth account, lists supported types with examples, and details delivery channels. However, it does not explicitly state when not to use this tool or compare it to alternatives.

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

A3.8/5.0
Disambiguation3/5

Several tools form tight clusters that are easy to confuse: ask_pipeworx/ask_pipeworx_beta/ask_pipeworx_grounded are near-identical in routing, and the six polymarket_* tools (edges, arbitrage, edge_tracker, fill_risk, kalshi_spread, bet_research) all operate on prediction markets with overlapping names and purposes. While each has a distinct job, an agent will need to read descriptions very carefully to pick the right one, especially when many are similar.

Naming Consistency2/5

Naming conventions are mixed throughout the set: many tools use verb_noun (ask_pipeworx, compare_entities, discover_tools, resolve_entity, validate_claim), but there are also noun_noun (polymarket_edges, entity_profile, bet_research), adjective_noun (deep_research, recent_alerts), and bare verbs (forget, recall, remember, subscribe). No consistent pattern emerges, making tool names harder to predict and remember.

Tool Count2/5

At 34 tools, this server is heavy and tries to serve many unrelated domains—data research, prediction markets, package registries, memory, subscriptions, and AI visibility. The prediction-markets cluster alone accounts for six highly specialized tools that could be consolidated. The scope feels bloated rather than focused, which will overwhelm agents exploring the toolset.

Completeness4/5

Each domain within the server has solid coverage: data lookups offer stable, beta, grounded, and deep-research variants; entity analysis has profile, compare, changes, and resolve; subscriptions support create/list/delete/alert-read; memory has set/get/list/delete. Minor gaps exist (e.g., no direct package search by keyword, no tool to update a subscription), but the major workflows are covered and there are no dead ends.

Resources