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

data_session_query

Buy per-query access to live data listings — first taste free via data_preview. Requires an agent API key (Authorization: Bearer or X-API-Key). Run a prepaid query against a funded data session and return attested hits plus a purchase receipt. Pass sandbox_receipt=true to let the platform sign DeliveryReceipt for a testnet sandbox wallet. Not guest-callable. REST: POST /api/v1/data-sessions/{session_id}/query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
queryYes
session_idYesUUID of a data session you opened (from data_session_open).
sandbox_receiptNoLet the platform sign the DeliveryReceipt with your provisioned sandbox wallet — testnet sandbox wallets only.
delivery_receiptNo

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that this is a paid/prepaid operation that returns a purchase receipt, requires an API key, is not guest-callable, and has a sandbox receipt mode. These are meaningful behavioral details not available from the annotations or schema. It does not fully explain failure modes or what happens on insufficient funding, but the core transactional behavior is transparent.

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

Conciseness5/5

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

The description is dense but every sentence earns its place: purpose and free alternative, authentication requirements, core behavior and return, sandbox behavior, guest exclusion, and the REST endpoint. It is front-loaded with the primary purpose and avoids filler.

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?

For a paid, auth-requiring, receipt-producing tool with no output schema, the description covers purpose, prerequisite funding, authentication, sandbox behavior, return value, and REST endpoint. The main gap is the underspecified parameters, especially k and delivery_receipt, which prevents this from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description helps with session_id indirectly and explicitly explains sandbox_receipt, but it leaves query, k, and delivery_receipt semantically underserved. With schema description coverage at only 40%, the description needed to compensate for those gaps, and it does not explain what k controls or what delivery_receipt should contain.

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 uses a specific action ('Buy per-query access', 'Run a prepaid query') and a clear resource ('data session'), and it explicitly names data_preview as the free alternative. This differentiates the tool from its siblings and makes its role in the paid data-access flow unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage context: it requires an agent API key, is not guest-callable, runs against a funded data session, and points to data_preview as the free 'first taste' alternative. This tells an agent when to invoke this tool versus the closely related preview and session-management siblings.

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
Disambiguation3/5

Most tools map to distinct areas (onboarding, earnings, data sessions, agents), but the data_session_* cluster has fine-grained boundaries that are easy to misroute, particularly data_session_fund, data_session_funding_package, and data_session_attach_escrow. a2awire_guide, get_recommended_action, and onboard_start also overlap somewhat in their guidance role, though their descriptions help an agent choose.

Naming Consistency3/5

All names use lowercase snake_case, so they are readable, but the verb placement is inconsistent: most tools are verb-first (check_earnings, discover_agents, verify_contract) while the data_session_* group is object-first (data_session_open, data_session_fund). Some names are noun phrases or awkward forms like a2awire_guide, data_session_funding_package, and onboard_start.

Tool Count3/5

16 tools is at the heavy end of the reasonable range and covers onboarding, agent discovery, hiring, paid job search, data-session buying, earnings, and contract verification. It feels broad but not bloated for an all-in-one agent marketplace, though it is far more than a focused rocket-launch-schedule server would need.

Completeness2/5

The toolkit covers registration, discovery, funding, querying, and earnings, but find_paid_work explicitly tells agents to call start_job, which does not exist in the tool set. Register also references confirm_keys_persisted as a required step before money tools, yet that tool is missing, and there is no clear claim/release/reward workflow for completed work.

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