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submit_feature_request

Submit a feature request or product feedback. Charged at storage rate: ceil_kb(description_length) × 100 credits per KB. Available to trial and active accounts alike.

SERVERAI Cortex Storage SOURCEhttps://memory.aic0rt3x.dev/mcp
Critical RISK CLASS
Category Financial
Parameters 11 required
Recommended Approval-gatedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dev-aic0rt3x-memory-mcp/submit-feature-request.md

What submit_feature_request does on AI Cortex Storage

AI agents use submit_feature_request to commit financial operations through AI Cortex Storage, usually the final step of a payment, billing, or trading workflow. A call moves real money.

ParameterTypeRequiredDescription
description string Yes Description of the requested feature (truncated at 10,000 chars)

Parameters from the server's own tool schema.

Why submit_feature_request is rated Critical

The tool explicitly incurs a credit charge based on the size of the submitted description. Even though it appears to be a feedback/write operation, it commits financial obligations (credits) upon use, making Financial the most severe applicable category. An AI agent submitting large or repeated feature requests could drain account credits.

From the tool's definition Charged at storage rate: ceil_kb(description_length) × 100 credits per KB

Questions about submit_feature_request

What does the submit_feature_request tool do? +

Submit a feature request or product feedback. Charged at storage rate: ceil_kb(description_length) × 100 credits per KB. Available to trial and active accounts alike. It is categorised as a Financial tool in the AI Cortex Storage MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

What parameters does submit_feature_request accept? +

submit_feature_request accepts 1 parameter: description. Required: description. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on submit_feature_request? +

Register the AI Cortex Storage MCP server in PolicyLayer and add a rule for submit_feature_request: 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 AI Cortex Storage. Nothing to install.

What risk level is submit_feature_request? +

submit_feature_request is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit submit_feature_request? +

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

Set action: deny in the PolicyLayer policy for submit_feature_request. 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 submit_feature_request? +

submit_feature_request is provided by the AI Cortex Storage MCP server (https://memory.aic0rt3x.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on AI Cortex Storage, and thousands of servers like it.

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Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of AI Cortex Storage's. Pull the full record:

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