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Remove brand rule

remove_rule
DestructiveIdempotent

Asks to remove one of a brand's rules (rule_id from get_brand), or to turn a house style switch off (toggle). It does not change anything yet: an owner or admin approves it in Yaybird, at the approval_url it returns.

Input Schema

NameRequiredDescriptionDefault
brandNoBrand id from get_workspace. Optional when the workspace has one brand.
reasonNoWhy, for the person deciding.
toggleNo
rule_idNo

Output Schema

NameRequiredDescriptionDefault
statusYes
change_idYes
approval_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes beyond the annotations by disclosing the approval workflow (owner/admin approves in Yaybird) and the returned approval_url, which the agent needs to relay. 'It does not change anything yet' is useful nuance against destructiveHint=true, though it could briefly reconcile that the removal still lands after approval.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler, with the action and the alternative front-loaded before the approval caveat. Every clause carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation-with-approval tool that already has an output schema, the description covers the workflow, parameter sources and return artifact well. The remaining gap is the selection rule between rule_id and toggle and the default brand behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%; the description compensates for the two undocumented params by sourcing rule_id from get_brand and defining toggle as a house style switch. It does not clarify the mutual exclusivity/requiredness of rule_id vs toggle, which the 0-required schema leaves ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('remove one of a brand's rules') and names the two modes (rule_id removal vs toggle off), which cleanly separates it from add_rule and update_rule. It also preempts confusion by noting the tool does not delete immediately.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explains the two use cases and where the rule_id comes from (get_brand), which tells the agent when each parameter applies. It stops short of explicitly excluding update_rule or stating that exactly one of rule_id/toggle must be supplied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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