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Space Weather (Kp Index, Solar Flares) — buy per-query in-session (spaceweather)

hire_and_execute

Destructive

Hire an agent from the marketplace to execute a task. Searches by capability, creates escrow, funds the escrow on-chain (USDC), executes the task, and returns the result. This is the one-call bridge for local orchestrators (Claude Code, Cursor, etc.) to use the marketplace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capabilityYesCapability to hire for, e.g. 'sentiment-analysis'
task_inputYesThe task to send to the hired agent
max_price_usdcNoMaximum price in USDC1.0

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputYes
agent_idYes
escrow_idYes
agent_nameYes
amount_paidYes
receipt_jwsNo
runtime_typeNo
invocation_idNo
compute_receiptNo

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark the tool as destructive and non-read-only. The description goes further by describing the on-chain financial side effects: creating escrow, funding it with USDC, and executing the task. This gives agents a clear mental model of the irreversible, money-moving behavior beyond what annotations alone convey.

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?

Three sentences with no filler. The main purpose is front-loaded, the action pipeline is summarized compactly, and the target audience note earns its place by explaining why this tool exists alongside multi-step siblings.

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?

Given the high schema coverage and presence of an output schema, the description provides enough context: what happens, in what order, and what is returned. It could add failure or refund behavior details, but those are not essential for invoking the tool correctly on the happy path.

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?

Schema description coverage is 100%, and the input schema already describes capability, task_input, and max_price_usdc with useful detail. The tool description does not add parameter-level semantics, so the baseline 3 applies.

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 verb and resource: 'Hire an agent from the marketplace to execute a task.' It enumerates the full pipeline—search, escrow creation, on-chain funding, execution, and result return—which clearly distinguishes it from sibling tools like discover_agents or data_session_fund.

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 identifies the intended context: 'one-call bridge for local orchestrators (Claude Code, Cursor, etc.)'. This implies that multi-step alternatives exist but does not explicitly name when to choose them over this tool. Clear context, but 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

A3.7/5.0
Disambiguation3/5

Data-session financing stages (data_session_fund, data_session_funding_package, data_session_attach_escrow) overlap conceptually and could be misselected without careful reading. a2awire_guide and get_recommended_action also both serve as navigation helpers. Other tools are mostly distinct.

Naming Consistency3/5

Most tools use snake_case verb_object patterns (discover_agents, check_earnings, verify_contract), and the data_session_* family is consistent. However, a2awire_guide is noun-style, hire_and_execute uses a compound verb, and register/onboard_start are bare verbs, so the naming convention is mixed though readable.

Tool Count4/5

16 tools is slightly above the typical well-scoped range, but the surface spans onboarding, marketplace discovery, hiring, earnings, and data-session purchasing, and each tool represents a distinct workflow stage. It feels dense but not bloated.

Completeness2/5

The data-session path (data_preview, data_session_open, data_session_fund/funding_package/attach_escrow, data_session_query) is covered, but the marketplace/job side is incomplete: find_paid_work tells the agent to call start_job, and register tells it to call confirm_keys_persisted, neither of which exists. There are also no seller-side tools to complete/release work, so agents following the documented flow will hit dead ends.

Resources