code_complexity
Calculate cyclomatic complexity and other code metrics.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/code-complexity.md
What code_complexity does on GadgetHumans API Hub
AI agents call code_complexity to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why code_complexity is rated Low
This tool analyzes code statically and retrieves/returns complexity metrics as data. It performs no side effects, does not execute arbitrary code, and does not create, modify, or delete data. It is a pure read operation analogous to other analysis utilities on this server like 'analyze_tone' and 'analyze_url'.
From the tool's definition Tool 'code_complexity' calculates and returns metrics about code; the description specifies 'Calculate cyclomatic complexity and other code metrics' with no mention of executing, modifying, or deleting anything.
Attacks that exploit this kind of access
The rule that runs code_complexity safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For code_complexity, this is the rule to start with:
code_complexity is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every code_complexity call is checked against it from then on.
Questions about code_complexity
Calculate cyclomatic complexity and other code metrics. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for code_complexity: 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 GadgetHumans API Hub. Nothing to install.
code_complexity is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the code_complexity 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.
Set action: deny in the PolicyLayer policy for code_complexity. 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.
code_complexity is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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