Medium Risk

save_field_mapping

Teach AutoApply how to answer a recurring question. Provide the label pattern (partial match is fine) and the answer to always use. Example: pattern='located in san francisco', value='Yes'. Next time fill_known_fields sees that label, it fills it automatically.

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

preetrajdeo/autoapply-mcp Write Risk 2/5

AI agents use save_field_mapping to create or modify resources in Autoapply. 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.

Without a policy, an AI agent could call save_field_mapping 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 Autoapply.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

preetrajdeo-autoapply-mcp.yaml
tools:
  save_field_mapping:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Autoapply policy for all 10 tools.

Tool Name save_field_mapping
Category Write
Risk Level Medium

View all 10 tools →

Agents calling write-class tools like save_field_mapping 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 Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the save_field_mapping tool do? +

Teach AutoApply how to answer a recurring question. Provide the label pattern (partial match is fine) and the answer to always use. Example: pattern='located in san francisco', value='Yes'. Next time fill_known_fields sees that label, it fills it automatically.. It is categorised as a Write tool in the Autoapply MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_field_mapping? +

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

What risk level is save_field_mapping? +

save_field_mapping is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_field_mapping? +

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

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

save_field_mapping is provided by the Autoapply MCP server (preetrajdeo/autoapply-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Autoapply

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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