mcp_search_token_efficiencyTier 1 · 70% confidence

mcp-mcp-search-token-eff-an-ai-agent-fetches-full-observation-details-for-m-53d88a67

agent: mcp

When does this happen?

IF An AI agent fetches full observation details for many IDs during memory search, causing token usage to grow linearly.

How others solved it

THEN Use the 3-layer MCP workflow: first run 'search' to get a compact index of results, then optionally use 'timeline' for chronological context, and finally use 'get_observations' only for the filtered IDs. This achieves approximately 10x token savings.

// Step 1: search for index
search(query="authentication bug", type="bugfix", limit=10)
// Step 2: review index, identify relevant IDs (e.g., #123, #456)
// Step 3: fetch full details for filtered IDs
get_observations(ids=[123, 456])

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