add-dataset-examples
Add new examples to an existing dataset
Part of the Phoenix MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
WHEN AI AGENTS USE THIS TOOL
AI agents use add-dataset-examples to create or modify resources in Phoenix. 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-DATASET-EXAMPLES
Without a policy, an AI agent could call add-dataset-examples 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 Phoenix.
RECOMMENDED POLICY
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
add-dataset-examples:
rules:
- action: allow
rate_limit:
max: 30
window: 60 See the full Phoenix policy for all 19 tools.
DETAILS
MORE PHOENIX TOOLS
upsert-prompt Write add-prompt-version-tag Write list-projects Read list-datasets Read get-dataset-examples Read get-dataset-experiments Read list-experiments-for-dataset Read get-experiment-by-id Read SIMILAR WRITE TOOLS ON OTHER SERVERS
RELATED READING
FREQUENTLY ASKED QUESTIONS
What does the add-dataset-examples tool do?
Add new examples to an existing dataset. It is categorised as a Write tool in the Phoenix 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-dataset-examples?
Add a rule in your Intercept YAML policy under the tools section for add-dataset-examples. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Phoenix MCP server.
What risk level is add-dataset-examples?
add-dataset-examples is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Can I rate-limit add-dataset-examples?
Yes. Add a rate_limit block to the add-dataset-examples 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-dataset-examples completely?
Set action: deny in the Intercept policy for add-dataset-examples. 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-dataset-examples?
add-dataset-examples is provided by the Phoenix MCP server (Arize-ai/phoenix). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
ENFORCE POLICIES ON PHOENIX
Open source. One binary. Zero dependencies.