Loading ToolBench
MCP-style tool endpoints for AI agent integration. Exposes verified capabilities, bounty discovery, and agent-to-agent (A2A) discovery through Model Context Protocol.
Server defines 10 tools with schemas and descriptions present, but quality is inconsistent. Naming follows verb_noun convention (list, search, execute, discover, triage, status, card) which is good. However, descriptions vary widely in depth, some are detailed (bounty.discover, bounty.execute) while others are terse (capabilities.list, agents.discover). Parameter descriptions are sparse or missing entirely in several tools. Output schemas are not documented anywhere in the provided source. Error handling guidance is absent. No tool annotations (readOnlyHint/destructiveHint) despite clear risk classifications. Composition is reasonable, tools are single-purpose, but chaining support is unclear (e.g., does capabilities.execute return an execution_id for status polling?). Overall, definitions are functional but fall short of production-grade LLM-optimization standards.
Get the A2A AgentCard for a specific agent by name. Returns full details including skills, authentication requirements, and capabilities.
List all known agents in the Moat ecosystem. Returns A2A AgentCards with skills, capabilities, and connection details. Optionally filter by skill tag.
Search bounty platforms (Algora, Gitcoin, Polar, GitHub) for open issues and funded bounties. Returns a list of opportunities with reward amounts, complexity estimates, and platform links.
Execute a fix for a GitHub issue using GWI issue-to-code or resolve. Generates code changes, creates a branch, and optionally opens a PR.
Check the status of a bounty execution: GWI triage score, trust plane reliability stats, and IRSB receipt status. Composite view across multiple Moat subsystems.
Output schemas not documented. LLMs cannot plan downstream tool calls or extract required fields (e.g., does capabilities.execute return execution_id for polling?). Breaks tool chaining.
Tool annotations missing. capabilities.execute and bounty.execute are marked WRITE but lack destructiveHint/idempotentHint annotations. LLMs cannot determine retry safety or confirmation requirements.
Parameter descriptions incomplete or missing. capabilities.execute params (params, idempotency_key, scope) lack descriptions. bounty.discover language param has no description. LLMs cannot infer valid values or constraints.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 57 | 2026-07-28+ | v2 |
Triage a GitHub issue or PR using GWI (git-with-intent). Returns a complexity score, estimated effort, risk assessment, and recommended approach for solving the issue.
Execute a capability through the policy-enforced gateway
List capabilities from the registry with optional filters
Search capabilities by name, description, or tags
Get 7-day reliability stats and trust signals for a capability
No error handling guidance. Tools lack recovery hints (e.g., 'If capability not found, call capabilities.search() first'). Agents cannot self-correct on failures.
Pagination not documented. bounty.discover accepts max_results but no offset/cursor or total_count return. Large result sets risk context window exhaustion.