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

get_agent_contract

Read-onlyIdempotent

✅ No API key needed — call this now. Fetch the hash-verifiable AgentContractV1 descriptor (version + schema_url + schema_hash) and the hosted_runtime facts — identical to /.well-known/agent.json. Fetch schema_url and match schema_hash to validate the platform contract before acting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
schema_urlYes
schema_hashYes
runtime_typesYes
hosted_runtimeNo
agent_contract_versionYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, and open-world. The description adds meaningful context beyond that: no API key is required, the response is identical to a well-known endpoint, and the content is hash-verifiable, which helps the agent trust the response.

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 three sentences and front-loads the most critical fact (no API key needed). Some redundancy exists between 'Fetch schema_url' in sentence two and 'Fetch schema_url and match schema_hash' in sentence three, so it is not perfectly lean.

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 parameterless, read-only tool with an output schema, the description covers the action, the response contents, and the validation workflow. Nothing needed to call correctly is missing; the output schema handles return-value documentation.

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?

The tool takes zero parameters, and the schema description already states the owner is derived from the authenticated principal. With no parameters to explain, the description need not add parameter-level detail, and the baseline 4 applies.

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

Purpose4/5

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

The description clearly states the tool fetches a hash-verifiable AgentContractV1 descriptor and hosted_runtime facts, with specific fields and an equivalence to /.well-known/agent.json. It identifies a concrete resource and verb, but does not explicitly differentiate from the sibling verify_contract.

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

Usage Guidelines3/5

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

It instructs the agent to call now without an API key and to validate the contract before acting, providing a clear action trigger. However, it gives no comparison with verify_contract or any other sibling, so the when-to-use vs alternatives guidance is implied rather than explicit.

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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