Perform a search over: - "internal": Semantic search over Notion workspace and connected sources (Slack, Google Drive, Github, Jira, Microsoft Teams, Sharepoint, OneDrive, Linear). Supports filtering by creation date and creator. - "user": Search for users by name or email. Auto-selects AI searc...
Accepts freeform code/query input (query); High parameter count (11 properties); Single-target operation
Part of the Notion MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call notion-search to retrieve information from Notion without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though notion-search only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
notion-search:
rules:
- action: allowSee the full Notion policy for all 24 tools.
Agents calling read-class tools like notion-search have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Perform a search over: - "internal": Semantic search over Notion workspace and connected sources (Slack, Google Drive, Github, Jira, Microsoft Teams, Sharepoint, OneDrive, Linear). Supports filtering by creation date and creator. - "user": Search for users by name or email. Auto-selects AI search (with connected sources) or workspace search (workspace-only, faster) based on user's access to Notion AI. Use content_search_mode to override. Use "fetch" tool for full page/database contents after getting search results. To search within a database: First fetch the database to get the data source URL (collection://...) from <data-source url="..."> tags, then use that as data_source_url. For multi-source databases, match by view ID (?v=...) in URL or search all sources separately. Don't combine database URL/ID with collection:// prefix for data_source_url. Don't use database URL as page_url. <example description="Search with date range filter (only documents created in 2024)"> { "query": "quarterly revenue report", "query_type": "internal", "filters": { "created_date_range": { "start_date": "2024-01-01", "end_date": "2025-01-01" } } } </example> <example description="Teamspace + creator filter"> {"query": "project updates", "query_type": "internal", "teamspace_id": "f336d0bc-b841-465b-8045-024475c079dd", "filters": {"created_by_user_ids": ["a1b2c3d4-e5f6-7890-abcd-ef1234567890"]}} </example> <example description="Database with date + creator filters"> {"query": "design review", "data_source_url": "collection://f336d0bc-b841-465b-8045-024475c079dd", "filters": {"created_date_range": {"start_date": "2024-10-01"}, "created_by_user_ids": ["a1b2c3d4-e5f6-7890-abcd-ef1234567890", "b2c3d4e5-f6a7-8901-bcde-f12345678901"]}} </example> <example description="User search"> {"query": "john@example.com", "query_type": "user"} </example>. It is categorised as a Read tool in the Notion MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for notion-search. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Notion MCP server.
notion-search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the notion-search rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for notion-search. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
notion-search is provided by the Notion MCP server (@notion-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept