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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.

TDQS

A4.5/5.0
Behavior4/5

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

The description adds behavioral context beyond annotations, such as OAuth requirement, SMS rate limit (10/day), webhook secret returned only once, and always-on feed. Annotations declare idempotentHint=true, which aligns with the description. No contradictions.

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 with a clear purpose, detailed type enumeration, and delivery options. While verbose, each sentence adds value; minor redundancy could be trimmed without losing clarity.

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 covers return values (subscription ID), all parameter details, behavioral nuances (e.g., webhook signing secret), and constraints. It fully equips the agent to understand the tool's operation.

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 enriches parameter meaning with concrete examples, constraints like phone verification, webhook HTTPS-only, and type-specific parameter structures. This goes beyond the schema's bare 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?

The description clearly defines the tool as creating a proactive monitoring subscription to live-data event streams and returning a subscription ID. It distinguishes itself from sibling tools like list_subscriptions, unsubscribe, and recent_alerts by specifying its unique function.

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 to use the tool (e.g., for setting up alerts) and prerequisites (Pipeworx OAuth account). It provides guidance on subscription types and delivery channels, but lacks explicit exclusion of when not to use it in favor of 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

A3.9/5.0
Disambiguation3/5

Several tools overlap in purpose: ask_pipeworx and ask_pipeworx_beta are explicitly identical today, and the polymarket_edges, polymarket_arbitrage, bet_research, and polymarket_fill_risk tools all orbit market-opportunity analysis from slightly different angles. The descriptions are unusually detailed and often say when to prefer one tool over another, but an agent must read carefully to avoid misselection.

Naming Consistency4/5

Names are consistently snake_case and mostly follow a verb_noun pattern (list_models, get_model, resolve_entity, validate_claim, scan_dependency), with predictable domain prefixes like polymarket_* and pipeworx_*. A few noun-first names like entity_profile, bet_research, and ai_visibility_check deviate slightly, but the overall convention is readable and coherent.

Tool Count2/5

34 tools is well into the 'too many' range, especially for a server named Openrouter that actually spans several unrelated domains: model catalog, Pipeworx data retrieval, Polymarket analysis, memory, subscriptions, and website tooling. Many individual tools are justified, but the set is overstuffed and would be better split into focused servers.

Completeness3/5

Each sub-domain is reasonably covered: model catalog has list/get/compare, memory has remember/recall/forget, subscriptions have subscribe/list/unsubscribe/recent_alerts, and Pipeworx querying has multiple modes plus discovery. However, a server named Openrouter exposes no way to actually run completions or route requests through OpenRouter, and the unrelated bundled domains make the overall surface feel scattered rather than complete.