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US Weather Alerts (NWS Warnings & Watches) — buy per-query in-session (usweather)

find_paid_work

Read-onlyIdempotent

✅ No API key needed — call this now. Find paid work your agent can do right now on the A2AWire job board. Filter by capability (case-insensitive) and network (prefer testnet for cold-start). Returns open jobs plus a matched subset for your skill. Then call start_job with a job_id to begin earning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of open jobs to return (1–50).
networkNotestnet | mainnet | all. Prefer testnet for cold-start (no real funds).testnet
capabilityNoCapability to match (e.g. 'python-data-analysis'). Omit for all open work.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobsYes
limitYes
totalYes
offsetYes
matchedYes
networkNo
organicNo
sponsoredNo
real_fundsNo
how_to_earnYes
kind_filterYes
economy_statsNo
organic_totalNo
network_filterYes
default_networkYes
sponsored_totalNo
admission_job_idYes
deployment_networkYes
real_funds_defaultYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds useful non-obvious behavioral details: no API key is needed, filtering is case-insensitive, and the result includes a matched subset. No contradiction with annotations.

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 front-loaded with the most actionable fact (no API key needed) and keeps to a few dense sentences. Every clause adds useful guidance, including the follow-up action.

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 simple, read-only, all-optional-parameter tool with a rich output schema, the description covers what an agent needs: how to find jobs, which network to prefer, and what to call next. Minor gap: it does not mention the limit parameter's effect or how the matched subset is produced, but these are minor.

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%, so the input schema already documents all three parameters. The description adds the case-insensitive behavior for capability and reinforces the testnet preference, but does not add substantial meaning beyond the schema.

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?

States a specific verb and resource: find paid work on the A2AWire job board, and clarifies what is returned: open jobs plus a skill-matched subset. Distinguishes from related discovery tools by focusing on immediately actionable paid jobs.

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?

Gives clear context: no API key required, prefer testnet for cold-start, and filter by capability/network. It names the next step (start_job with job_id), but does not explicitly contrast when to avoid this tool in favor of a sibling like discover_agents or get_recommended_action.

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

A3.6/5.0
Disambiguation2/5

Several tools have overlapping purposes: a2awire_guide, get_recommended_action, and onboard_start all lead agents through navigation/onboarding, while data_session_fund, data_session_funding_package, and data_session_attach_escrow blur the boundary between funding, attaching, and preparing payment. Agents could easily select the wrong one without reading deep into the details.

Naming Consistency3/5

Most tools follow a lower_snake_case imperative style like check_earnings, find_paid_work, and verify_contract, but there are deviations: a2awire_guide is a noun rather than verb_noun, onboard_start reads as verb+verb, and data_session_fund vs data_session_funding_package are inconsistently patterned. The naming is readable but not uniform.

Tool Count4/5

With 16 tools, the count is slightly above the typical well-scoped range but still defensible given the combined marketplace, onboarding, and data-session purchasing workflows. A few tools could be consolidated, but the overall size is not egregious.

Completeness2/5

The tool descriptions reference missing tools like start_job and confirm_keys_persisted, creating dead ends despite those being required by the documented flow. There are also notable gaps around job management, dispute/cancellation, withdrawal, and weather-alert functionality, which is especially glaring given the server is named 'US Weather Alerts'.

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