Medium Risk

codeloop_generate_spec

[CodeLoop] You MUST call codeloop_verify after every code change. If .codeloop/config.json is missing, call codeloop_init_project FIRST. Generate a design specification from Figma design tokens. Use this tool when: - A .codeloop/figma.json exists and you want to extract colors, typography, and s...

Bulk/mass operation — affects multiple targets

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

AI agents use codeloop_generate_spec to create or modify resources in Codeloop. 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 codeloop_generate_spec 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 Codeloop.

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

codeloop.yaml
tools:
  codeloop_generate_spec:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Codeloop policy for all 29 tools.

Tool Name codeloop_generate_spec
Category Write
MCP Server Codeloop MCP Server
Risk Level Medium

View all 29 tools →

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

[CodeLoop] You MUST call codeloop_verify after every code change. If .codeloop/config.json is missing, call codeloop_init_project FIRST. Generate a design specification from Figma design tokens. Use this tool when: - A .codeloop/figma.json exists and you want to extract colors, typography, and spacing tokens - You need to create docs/specs/design_tokens.json and docs/ui_rules.md from the Figma file - You want to enforce design consistency by comparing code against extracted tokens Returns: extracted tokens, generated file paths, and any errors from the Figma API.. It is categorised as a Write tool in the Codeloop MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on codeloop_generate_spec? +

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

What risk level is codeloop_generate_spec? +

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

Can I rate-limit codeloop_generate_spec? +

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

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

codeloop_generate_spec is provided by the Codeloop MCP server (codeloop-mcp-server). 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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