Low Risk

find_examples

Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. REQUIRED: either query (string, for search) or repo with file_path or list_files=true — the call WILL FAIL without one. Three modes: (1) Search: pass query to find examples across all repos, (2) File listing: pass repo...

Risk signalsAccepts file system path (file_path) · Accepts freeform code/query input (query)

Part of the Senzing server.

find_examples is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call find_examples 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 find_examples 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "find_examples": {}
  }
}

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These attack patterns abuse exactly the kind of access find_examples gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so find_examples only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the find_examples tool do? +

Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. REQUIRED: either query (string, for search) or repo with file_path or list_files=true — the call WILL FAIL without one. Three modes: (1) Search: pass query to find examples across all repos, (2) File listing: pass repo + list_files=true, (3) File retrieval: pass repo + file_path. Indexes source code (.py, .java, .cs, .rs) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C#, Rust SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.. 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 find_examples? +

Register the Senzing MCP server in PolicyLayer and add a rule for find_examples: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Senzing. Nothing to install.

What risk level is find_examples? +

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

Can I rate-limit find_examples? +

Yes. Add a rate_limit block to the find_examples rule in your PolicyLayer 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 find_examples completely? +

Set action: deny in the PolicyLayer policy for find_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 find_examples? +

find_examples is provided by the Senzing MCP server (https://mcp.senzing.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Senzing tool call.

Deterministic rules across all 13 Senzing tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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