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set_requirements

Write a ticket

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/set-requirements.md

What set_requirements does on FeatureBoard

AI agents use set_requirements to create or update resources in FeatureBoard, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FeatureBoard environment.

Why set_requirements is rated Medium

The tool creates or modifies ticket data in a local-first project board system. This is a reversible write operation—tickets can typically be edited, deleted, or reassigned later. It has medium severity because misuse could create noise or invalid tickets that require cleanup, but it doesn't delete data irreversibly or execute arbitrary code.

From the tool's definition Tool description states 'Write a ticket', which is a create/modify operation on project management data.

Questions about set_requirements

What does the set_requirements tool do? +

Write a ticket. It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_requirements? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for set_requirements: 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 FeatureBoard. Nothing to install.

What risk level is set_requirements? +

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

Can I rate-limit set_requirements? +

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

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

set_requirements is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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