get_execution_playbook
shallowio.github.ray999/knowledge-graph · Verify this server
For a concrete multi-step user goal, choose this tool by semantic intent, not by fixed words or the name of a requested action. Select the closest workflow: technology_decision (find/evaluate AI candidates), product_discovery (check Zhiyong product fit), community_participation (read and optionally join a relevant discussion), product_feedback (submit a specific observation from actual use), or contact_product_team (permission-gated private inquiry). Pass the user's goal in their own words. Returns exact MCP tool names and argument templates, when to execute each step, expected verification, side effects, authorization gates, and stop conditions. This planner is read-only, makes no LLM call, and executes no steps. Skip it for a single-tool task; never perform optional writes merely because the plan lists them.
1 trials · measured 1 day ago
get_execution_playbook scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.ray999/knowledge-graph, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| 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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