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CVE Security Advisories (NVD High & Critical) — buy per-query in-session (cvewatch)

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

A4.5/5.0
Behavior4/5

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

Beyond the readOnly/idempotent annotations, the description discloses that no API key is required, that capability matching is case-insensitive, that testnet is preferred for cold-start, and that results include a matched subset for the agent's skill. These are practical behavioral details not present in the 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?

Three sentences, front-loaded with the most important action trigger ('No API key needed — call this now'), then purpose, filtering, return, and next step. Every sentence earns its place without redundancy.

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 simple read-only query tool with an output schema and clear annotations, the description covers purpose, parameter usage, return behavior, and the downstream start_job step. Nothing essential is missing for an agent to invoke it correctly.

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 schema already documents all three parameters, but the description adds the case-insensitive behavior for capability matching and reinforces the network preference. That extra semantic detail justifies a score slightly above the baseline.

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 states a specific action and resource: find paid work on the A2AWire job board. It clearly distinguishes this from sibling discovery tools by emphasizing the job board and the follow-up start_job flow, so an agent can tell what this tool is for.

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 gives strong contextual guidance: call it now, no API key needed, filter by capability and network, prefer testnet for cold-start, and then proceed to start_job. It does not explicitly mention when to use alternative discovery tools, so it stays a notch below full alternative-routing guidance.

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
Disambiguation3/5

A few clusters could cause misselection: data_session_fund, data_session_funding_package, and data_session_attach_escrow all involve paying for data sessions, and both a2awire_guide and get_recommended_action provide next-step guidance. However, most tools target distinct resources and actions, and the detailed descriptions help resolve most ambiguity.

Naming Consistency2/5

Names fall into two competing styles: verb-first commands like discover_agents/find_paid_work/get_agent_contract, and resource-first names like data_preview/data_session_open/data_session_funding_package. Within the data_session_* family, forms are inconsistent (fund vs funding_package vs attach_escrow), and a2awire_guide/onboard_start don't follow either pattern.

Tool Count3/5

16 tools is at the borderline/heavy end but not unreasonable for a platform spanning onboarding, discovery, hiring, escrow, and data-session payments. The count feels inflated mainly because much of that scope is unrelated to the server's advertised CVE-advisory purpose.

Completeness1/5

The server name promises CVE Security Advisories from NVD, yet there is no CVE-specific search, list, get, or filter tool. The only query path is generic data_session_query, which could target any data listing, so an agent cannot reliably accomplish the server's core advertised workflow.

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