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Marine buoy weather observations (marinewatch)

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

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark this as destructive and non-read-only; the description adds concrete side effects by stating it creates escrow, funds it on-chain with USDC, and executes the task. This reveals the financial and irreversible nature of the call, though it does not cover failure or refund behavior.

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?

Two sentences with no wasted words: the first states the core action, and the second condenses the internal workflow and intended audience. The most important scoping phrase, 'one-call bridge,' is placed prominently.

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?

The description covers the end-to-end behavior, the on-chain payment implication, and the target use case, which is sufficient given the rich schema descriptions and annotations. The output schema exists, so return-value details are not required in the description.

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 provides 100% description coverage for capability, task_input, and max_price_usdc, so the schema carries the parameter documentation burden. The tool description adds no extra parameter detail beyond mentioning capability search and task execution, so the baseline score of 3 is appropriate.

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 then enumerates the full pipeline—search by capability, create escrow, fund on-chain, execute, return result—which clearly differentiates it from session-based or discovery-only sibling tools.

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 explicitly frames this as 'the one-call bridge for local orchestrators,' which conveys when to use it over a multi-step manual flow. It does not explicitly name alternative tools like data_session_open or discover_agents, so the guidance is clear but not exhaustive.

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

B3/5.0
Disambiguation2/5

Several tools occupy the same conceptual slot: data_session_fund, data_session_funding_package, and data_session_attach_escrow all appear to configure payment for a session, while a2awire_guide, get_recommended_action, and onboard_start all give next-step guidance. Many other tools are distinct, but these boundaries would cause an agent to misselect.

Naming Consistency3/5

Most names use snake_case verb_noun patterns like check_earnings, find_paid_work, and get_recommended_action, and the data_session_* family is consistent. However, a2awire_guide breaks the verb pattern and data_session_funding_package is a noun phrase rather than an action. The inconsistency is noticeable but not chaotic.

Tool Count2/5

Sixteen tools is high for a server whose headline capability is a single marine-buoy data listing; most tools handle platform onboarding, escrow, and marketplace concerns rather than weather observations. This makes the count feel disproportionate and bloated for the stated purpose.

Completeness2/5

The marine observation domain is served only by data_preview and data_session_query; there are no direct tools to list stations, fetch a specific buoy's observations, or explore metadata. The session/escrow workflow is fully built out, but the actual weather-data surface has a major gap.

Resources