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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

A4.4/5.0
Behavior4/5

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

With annotations (readOnlyHint=false, idempotentHint=true, destructiveHint=false) already declaring mutation and idempotency, the description adds valuable context: returns subscription id, requires authenticated account (anonymous/BYO cannot persist), and details delivery caveats (SMS cap, phone verification, webhook auto-disable). Does not contradict 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?

The description is dense but well-structured: purpose first, then auth requirement, then types with examples, then delivery channels. Every sentence adds useful information. It is long but appropriate for the tool's 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?

For a tool with 3 parameters, nested objects, and multiple subscription types, the description covers return value, auth prerequisites, all supported types with examples, delivery channels, and operational constraints. The schema fills in remaining details, and no output schema is needed given the return value is stated.

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 description coverage is 100%, so baseline is 3. The description adds meaning beyond schema by explaining individual item codes (e.g., items:["5.02"] = officer change) and giving concrete examples (e.g., topic:"fed", series_id:"UNRATE"). This enhances parameter understanding without repeating schema text.

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 states a specific action ('Create a proactive monitoring subscription') on a specific resource ('live-data event stream'), and distinguishes from sibling tools like list_subscriptions and unsubscribe. It clearly indicates the tool's primary 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 provides strong context: requires OAuth account, supported subscription types with examples, delivery channels, and prerequisites like verified phone for SMS. It doesn't explicitly mention 'use this instead of X', but the context is sufficient for selecting this tool over siblings. Minor gap: no explicit exclusions.

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

A3.6/5.0
Disambiguation3/5

Several tools have overlapping purposes, such as ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research. While each has distinct nuances, they could be confused by an agent.

Naming Consistency3/5

Most tools use snake_case, but the naming pattern is inconsistent (e.g., bet_research vs. polymarket_arbitrage vs. ai_visibility_check). There is no strong verb_noun pattern across the set.

Tool Count2/5

34 tools is high given the server's stated purpose ('spacenews'). Only a few tools directly relate to space news; the bulk are general-purpose Pipeworx utilities, making the scope too broad.

Completeness2/5

For a space news server, the tool surface is incomplete: only get_articles, get_blogs, and search_articles are relevant. Missing tools for article details, source filtering, or categories. The extensive general tools don't make up for this gap.