Medium Risk

resolve_error

Map error OR free-text query to a verified fix. USE WHEN: user pastes a concrete error/stack (ENOENT, ImportError, build failure) — pass `error`. OR user describes a symptom ('webpack slow', 'pip stuck') — pass `query`. Always prefer this over guessing a fix. RETURNS: exact-match {status, solutio...

Accepts freeform code/query input (query)

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

depscope-mcp Write

AI agents use resolve_error to create or modify resources in Depscope. 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 resolve_error 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 Depscope.

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

dev-depscope-mcp.yaml
tools:
  resolve_error:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Depscope policy for all 22 tools.

Tool Name resolve_error
Category Write
MCP Server Depscope MCP Server
Risk Level Medium

View all 22 tools →

Agents calling write-class tools like resolve_error 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 resolve_error tool do? +

Map error OR free-text query to a verified fix. USE WHEN: user pastes a concrete error/stack (ENOENT, ImportError, build failure) — pass `error`. OR user describes a symptom ('webpack slow', 'pip stuck') — pass `query`. Always prefer this over guessing a fix. RETURNS: exact-match {status, solution, confidence, source_url} or search results [{title, summary, source_url}].. It is categorised as a Write tool in the Depscope MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resolve_error? +

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

What risk level is resolve_error? +

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

Can I rate-limit resolve_error? +

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

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

resolve_error is provided by the Depscope MCP server (depscope-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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