ask_services
deepio.github.AgentTools-Cloud/agent-tools-mcp · Verify this server
Ask for the best x402/MCP services for an agent intent. This is the high-level discovery tool: it retrieves candidates from the directory, asks the configured backend LLM to rank only those candidates, and returns service cards for the selected recommendations. If the LLM is unavailable, it falls back to the directory ranker. Args: intent: Natural-language job the agent wants to accomplish. top_k: Max recommendations to return (1-10). max_price_usd: Optional per-call budget cap. category: Optional directory category filter. chain: Optional payment network filter, e.g. "base" or "solana". require_healthy: When true, only consider services marked health=ok. min_confidence: Optional x402scan quality floor (0.0-1.0). has_mcp: When true, only consider services with MCP endpoints. use_llm: Set false for deterministic retrieval-only fallback.
48 trials · measured 15 days ago
ask_services scores 75.4/100 on Vouch's measured behaviour index, from 48 real invocation trials against io.github.AgentTools-Cloud/agent-tools-mcp, measured 6 Oct 2026 under methodology v0.2.0. Its lowest-scoring measured component is Latency at 0.0/100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | 95.0 |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | 100.0 |
| Latency | 15% | 0.0 |
| Concurrency | 10% | 21.1 |
Tool details
- Transport
- remote + stdio
- Credential class
- open
- Category
- Communication
- Input schema
- declared
- Output schema
- declared
- Side-effect classification
- read-only
- Declared input schema
{ "type": "object", "title": "ask_servicesArguments", "required": [ "intent" ], "properties": { "chain": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "title": "Chain", "default": null }, "top_k": { "type": "integer", "title": "Top K", "default": 5 }, "intent": { "type": "string", "title": "Intent" }, "has_mcp": { "type": "boolean", "title": "Has Mcp", "default": false }, "use_llm": { "type": "boolean", "title": "Use Llm", "default": true }, "category": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "title": "Category", "default": null }, "max_price_usd": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "title": "Max Price Usd", "default": null }, "min_confidence": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "title": "Min Confidence", "default": null }, "require_healthy": { "type": "boolean", "title": "Require Healthy", "default": true } } }
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-06 | 75.4 | deep | v0.2.0 |
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
| 2026-08-24 | 98.3 | deep | v0.1.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| reliability | pass: 38, timeout: 2 |
| malformed_input | pass: 8 |
| timeout_honour | skipped: 2, pass: 2 |
| cancellation | pass: 2, skipped: 2 |
| concurrency | timeout: 10, pass: 30 |
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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