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Funded bounty radar

bounty.radar

Aggregated live funded bounties: Superteam Earn, GitHub, GitLab with prices and links. Provided by Money Reactor — x402 paid APIs (founding provider) through the naxytra open provider network; routed and settled by the xytara runtime. Price: $0.005 USDC per call via x402 or 2 credits with a spend key; failed calls are not charged. Not covered by the free allowance.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations cover the safety profile (destructiveHint=false, openWorldHint=true), but they say nothing about cost. The description adds concrete commercial behavior: $0.005 USDC per call or 2 credits with a spend key, failed calls not charged, and exclusion from the free allowance. That is exactly the kind of pre-call risk context an agent needs and cannot get from structured fields, though latency and result freshness remain unstated.

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 capability is front-loaded in sentence one, with pricing and settlement details after it. The second sentence is dense with provider-branding vocabulary ('Money Reactor', 'naxytra open provider network', 'xytara runtime') that mostly serves attribution rather than agent decision-making, which slightly dilutes it.

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?

With no output schema, the description does tell the agent what comes back: bounties with prices and links, aggregated across three sources. Cost and failure semantics are fully covered. What's missing is any indication of result volume, freshness, or how to constrain an otherwise argument-free call.

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?

There are zero declared parameters, so the baseline of 4 applies. The schema is a generic open object ('additionalProperties': true) that the provider validates server-side, and the description usefully notes that rejected calls are not charged, which tempers the risk of an open-ended argument bag.

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 first sentence names a specific resource and scope ('Aggregated live funded bounties') and enumerates the sources (Superteam Earn, GitHub, GitLab) plus the payload contents (prices, links). That is far more informative than the title alone. No sibling tool overlaps this domain, so explicit differentiation isn't required and it doesn't get made.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, and no alternative is named. The second sentence is entirely about billing provenance (x402, spend keys, credits) rather than about the situations that should trigger a call.

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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