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Glama

Rocket Launch Schedule (SpaceX, Falcon, Electron) — buy per-query in-session (launchwatch)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: launchwatch: Rocket Launch Schedule Index. Price 0.01 USDC/query (max 20 queries/session). Sample questions: When is the next Starlink launch and from which pad?; What orbital launches are scheduled this week?. FREE preview — no key, no payment. Try one of the sample questions now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoPublic listing slug. Defaults to the routed session's listing when connected via /mcp/data/{slug}/http.
questionNoOptional free-text question you'd ask this data (echoed back).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

It adds useful context: no API key needed and a 20-query-per-session limit. But it also says 'Price 0.01 USDC/query' right before 'FREE preview — no key, no payment', creating internal ambiguity about whether invoking this tool is metered. The annotations already mark the operation readOnly and idempotent, but the description itself muddies the cost/access behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with 'No API key needed — call this now', but it repeats the free/no-key point multiple times and mixes listing pricing into a free-preview description. It is compact but not taut, with some redundancy that could be trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, zero-required-parameter preview tool, the description and schema together provide enough to attempt a call: it is free, needs no key, and sample questions are offered. However, it doesn't describe what the response looks like, how the slug is resolved in generic use, or reconcile the price mention, so completeness is only adequate.

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 input schema fully describes both parameters, so the baseline is 3. The description adds example questions that map to the 'question' parameter, but it does not add any further semantic detail about 'slug' or parameter formatting beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies this as a 'FREE preview' and offers sample questions, so an agent can infer it previews data. However, it frames the tool around a single listing ('launchwatch: Rocket Launch Schedule Index') rather than the generic action of previewing a data listing, and it never clearly distinguishes itself from sibling tools like data_session_query.

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 clearly tells an agent to call it now, without an API key or payment, which is strong contextual guidance for when to use this free preview. It does not explicitly contrast with paid or session-based alternatives, so it stops short of a full when/where-not explanation.

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

B3.3/5.0
Disambiguation3/5

Most tools have distinct names and purposes, but the data_session_* cluster (open, fund, funding_package, attach_escrow) has unclear boundaries, and a2awire_guide vs get_recommended_action both suggest next steps. Descriptions help resolve most ambiguity, so the set is workable but not crisp.

Naming Consistency4/5

Nearly all tools follow a snake_case verb_noun or data_session_* pattern, which is predictable. Minor deviations like register, a2awire_guide, and data_session_funding_package (a noun rather than a verb) keep it from being a perfect 5.

Tool Count2/5

16 tools for a narrow 'buy per-query rocket launch schedule' product is excessive; the majority are generic A2AWire onboarding, marketplace, and escrow tools rather than launch-schedule functionality. The core data product only needs roughly half this surface, so the set is not well-scoped to its stated purpose.

Completeness2/5

The data-purchase flow is mostly covered (preview, open, fund, query), but the toolset includes workflows with dead ends: find_paid_work tells agents to call start_job, which is not exposed, and data sessions have no status, close, or refund tool. These gaps will cause agent failures in the advertised A2AWire workflows.

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