Low Risk

analyze_record

Get the Senzing JSON analyzer script with commands to validate and analyze mapped data files client-side. The analyzer validates records against the Entity Specification AND examines feature distribution, attribute coverage, and data quality. Returns the Python script (no dependencies) with instr...

Part of the Senzing MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call analyze_record to retrieve information from Senzing 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 analyze_record 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.

senzing-entity-resolution.yaml
tools:
  analyze_record:
    rules:
      - action: allow

See the full Senzing policy for all 13 tools.

Tool Name analyze_record
Category Read
MCP Server Senzing MCP Server
Risk Level Low

View all 13 tools →

Agents calling read-class tools like analyze_record have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the analyze_record tool do? +

Get the Senzing JSON analyzer script with commands to validate and analyze mapped data files client-side. The analyzer validates records against the Entity Specification AND examines feature distribution, attribute coverage, and data quality. Returns the Python script (no dependencies) with instructions. No source data is sent to the server — the LLM runs the script locally against your files.. It is categorised as a Read tool in the Senzing MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_record? +

Add a rule in your Intercept YAML policy under the tools section for analyze_record. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Senzing MCP server.

What risk level is analyze_record? +

analyze_record is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit analyze_record? +

Yes. Add a rate_limit block to the analyze_record 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 analyze_record completely? +

Set action: deny in the Intercept policy for analyze_record. 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 analyze_record? +

analyze_record is provided by the Senzing MCP server (senzing/entity-resolution). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Senzing

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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