add_observations
Add new observations to existing entities
Part of the Memory MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
WHEN AI AGENTS USE THIS TOOL
AI agents use add_observations to create or modify resources in Memory. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
WHY ENFORCE A POLICY ON ADD_OBSERVATIONS
Without a policy, an AI agent could call add_observations repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Memory.
RECOMMENDED POLICY
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
add_observations:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Memory policy for all 9 tools.
DETAILS
MORE MEMORY TOOLS
create_entities Write create_relations Write read_graph Read search_nodes Read delete_entities Destructive delete_observations Destructive delete_relations Destructive open_nodes Other SIMILAR WRITE TOOLS ON OTHER SERVERS
RELATED READING
FREQUENTLY ASKED QUESTIONS
What does the add_observations tool do?
Add new observations to existing entities. It is categorised as a Write tool in the Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
How do I enforce a policy on add_observations?
Add a rule in your Intercept YAML policy under the tools section for add_observations. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Memory MCP server.
What risk level is add_observations?
add_observations is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Can I rate-limit add_observations?
Yes. Add a rate_limit block to the add_observations 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.
How do I block add_observations completely?
Set action: deny in the Intercept policy for add_observations. 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.
What MCP server provides add_observations?
add_observations is provided by the Memory MCP server (modelcontextprotocol/server-memory). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
ENFORCE POLICIES ON MEMORY
Open source. One binary. Zero dependencies.