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Glama

Nasa

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. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate idempotentHint=true and readOnlyHint=false. The description adds essential behavioral details: authentication requirement, return value (subscription id), webhook auto-disable after 10 failures, and SMS rate limit (10/day). This enriches understanding beyond the 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 thorough and well-structured, starting with the core purpose, then prerequisites, then detailed type and delivery information. It is slightly long but every sentence adds value. No redundancy.

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 (multiple subscription types and delivery channels) and no output schema, the description covers all critical aspects: creation behavior, authentication, type-specific parameters, delivery options, failure handling, and rate limits. It is fully sufficient for an agent to use the tool correctly.

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?

Schema coverage is 100%, but the description adds substantial value: it provides concrete examples for each type and its params (e.g., sec_8k with items codes, polymarket_edge with topic), and explains delivery channels with constraints (phone verification, webhook signing). This goes far beyond the 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?

The description clearly states the tool's purpose: 'Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id.' It specifies the resource (subscription to event streams) and the action (create), and distinguishes from siblings like list_subscriptions, unsubscribe, and recent_alerts 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?

The description includes important usage context: requires a Pipeworx OAuth account (anonymous and BYO cannot persist), and details delivery channel options. It does not explicitly contrast with sibling tools but the context is sufficient to infer when to use subscribe (for creation) versus list_subscriptions or unsubscribe.

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

A3.7/5.0
Disambiguation2/5

Several tools occupy nearly identical semantic space: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded all route through the same 5,798 tools and differ mainly in output strictness or testing status. The Polymarket cluster also has significant boundary overlap, and the 'Nasa' server name makes the large block of unrelated data tools even more confusing to navigate.

Naming Consistency4/5

Most tools follow a clear verb_noun snake_case pattern (get_apod, search_nasa_images, resolve_entity, validate_claim, unsubscribe), and family prefixes like ask_pipeworx and polymarket_ are consistent. A few noun-first outliers like entity_profile, deep_research, and bet_research break the pattern slightly, but the overall style is still readable and predictable.

Tool Count2/5

With 36 tools, this set is well beyond the comfortable 3-15 range and even exceeds the 16-25 'heavy' band. Only about five tools actually relate to the server's apparent NASA identity, while the rest form a general data/Pipeworx utility kit that would be better split into a separate server.

Completeness2/5

For a server named 'Nasa,' the surface is thin: APOD, asteroids, Mars rover photos, solar flares, and image search cover only a slice of NASA's API portfolio, with no launch schedules, Earth imagery, mission/news feeds, or ISS data. The general Pipeworx tools make the server broad but incoherent, and a user focused on NASA would hit dead ends quickly.

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