ca.veilpoint/opportunity-exchange

Where it sits in the directory's order

What can be seen from outside, weighed as the directory publishes.

Where it answers

• https://veilpoint.ca/mcpstreamable-http

The tools it lists (72, as of 6 days ago)

The tool-description rules found nothing in these descriptions. They look for instructions aimed at a model and for hidden characters; they cannot see what a tool does when it runs.

• investigate_economic_question

  Turn a natural-language economic question into an inspectable deterministic plan, resolve governed entities, execute a bounded set of existing OEX graph/data primitives, and return a citation-ready evidence bundle. OEX does not invoke a hosted model or generate a hidden reasoning chain; synthesize only from the returned evidence and limitations.

• inspect_knowledge_frontier

  What OEX has asked about a subject, what it could not conclude, why, and which registered question logically follows. Governed and deterministic: every field is a typed governed value or a fixed catalogue constant, no model is invoked, and nothing is derived from prose. This is not a work queue — it carries no identifiers to act on, and OEX accepts no report that a dependency was addressed. A dependency stops being reported when the same question, asked again against changed governed evidence, no longer derives it. Use investigate_economic_question or the subject’s own resource for the facts;

• resolve_entities

  Resolve a user-supplied name, slug, NOC code, SGC code, program, sector or governed source to its canonical OEX identity. Call this before joining datasets when the identifier is uncertain. Results include the correct follow-up MCP tool and arguments.

• get_entity_context

  Fetch the governed context for one resolved entity in a single call. Accepts a canonical id, local slug or exact name and routes to the existing occupation, municipality, sector, training, NOC or source resource so evidence and provenance are preserved.

• query_knowledge_graph

  Query the materialized semantic graph without downloading whole datasets. Resolve an entity name/code and optional municipality geography, then return typed facts and relationships. This supports municipality-by-NAICS GDP and business queries without encoding classifications in metric names. Missing facts or edges mean unknown, never zero or false.