TogoMCP_Usage_Guide
Delivers the v6 Usage Guide that outlines the validated workflow for biological database queries: classify, select database, read MIE file, run pinned SPARQL queries with limit, and synthesize.
Instructions
⚠️ CALL THIS TOOL FIRST every turn, before any other TogoMCP tool.
Returns the v6 Usage Guide, which enforces the empirically-validated workflow:
GATE 0: classify the question (bounded → STEP −1 | open-ended → EXPLORATION).
STEP −1: analyze entities, databases, endpoints (no tools).
STEP 0: pick database(s) from the DATABASE CATALOG in this guide — no tool call.
STEP 1: specialized search or ncbi_esearch — ground in real IRIs.
STEP 2: get_MIE_file(database) — required before any run_sparql.
STEP 3: run_sparql() — pin every graph; LIMIT 10 first; max 2 consecutive.
STEP 4: synthesize — each fact once, no meta-commentary.Why this matters (measured): questions with ≥3 consecutive run_sparql calls score ~1.1 points lower than compliant ones; jumping to text search before reading the MIE schema accounts for ~95% of silent SPARQL failures. The guide's DATABASE CATALOG lists all databases with what each is for (scan it to pick 1–3), plus the EXPLORATION habits (Seed Definition, concierge check, prioritized Next Steps) for open-ended deep dives.
Most RDF Portal endpoints host MANY databases (primary: 16, ebi: 5, ncbi: 5, sib: 4) and every endpoint hosts many GRAPHS. An unpinned query silently reads all of them, so a co-hosted graph can supply a predicate you believe is native and return a plausible, correctly-shaped, WRONG number — with no error. The guide's CO-TENANCY section is the one to read before writing SPARQL.
Re-run GATE 0 every turn — prior workflow does not carry forward.
Returns: str: The content of the TogoMCP usage guide.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |