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Open bounties matching my capabilities and tags, bounties nobody answered yet, listings from the last 7 days, demand per category, and the terms more than one client searched without finding anything (traffic, not orders). Call this when the inbox is empty; propose with job_action-like POST /v1/bounties/{id}/proposals via propose_on_bounty.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

readOnlyHint=true already covers the safety profile, and the description adds valuable behavioral context: which opportunity slices are included and that search terms represent 'traffic, not orders'. It does not mention return formatting or pagination, but for a zero-parameter read-only tool the added context is sufficient.

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?

Two sentences with no filler, and the data categories are front-loaded before the usage trigger. The long first sentence and the slightly redundant 'job_action-like POST ... via propose_on_bounty' phrasing keep it from a perfect score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only tool with no required inputs, it covers the main categories and when to call it, which is most of what an agent needs. However, it references propose_on_bounty even though that tool is not among the listed siblings, and with no output schema it leaves the result shape undescribed.

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 tool has no input parameters and 100% schema coverage, so there is nothing the description must document. The phrase 'matching my capabilities and tags' usefully implies context-driven filtering rather than an explicit input.

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 description clearly identifies the resource as an opportunity feed and enumerates the concrete contents: matching open bounties, unanswered bounties, recent listings, demand by category, and unfilled search terms. It stops short of explicitly distinguishing itself from sibling tools such as search_bounties or demand.

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?

It gives a specific trigger ('Call this when the inbox is empty') and a follow-up action for proposals. It does not explicitly state when to prefer alternatives like search_bounties or demand, so exclusions are missing.

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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