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sole03

mcp-rule-engine

by sole03

confirm_rule

Manage suggested rules by accepting, rejecting, editing, or skipping them to control rule adoption.

Instructions

Accept, reject, edit, or skip a suggested rule

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
ruleIdYes
editedPatternNo
editedSuggestionNo
Behavior2/5

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

With no annotations, the description fully carries the burden of behavioral disclosure. It does not explain what each action does (e.g., whether accepting creates a rule, rejecting deletes it, what 'edit' modifies, or what 'skip' means). The side effects are unclear.

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

Conciseness3/5

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

The description is a single sentence, which is concise but sacrifices necessary detail. It is front-loaded with the action verb, but the lack of structure or additional sentences leaves it insufficiently informative.

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

Completeness1/5

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

Given 4 parameters and no output schema, the description is grossly incomplete. It does not explain when editedPattern is required, how each action affects the system, or what the tool returns. Essential context for correct usage is missing.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate. However, it only mentions the actions (which correspond to the 'action' parameter), providing no explanation of ruleId, editedPattern, or editedSuggestion. Their meanings and usage are entirely absent.

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

Purpose4/5

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

The description clearly states the tool's purpose: to accept, reject, edit, or skip a suggested rule. It lists all possible actions, making the core functionality unambiguous. However, it could be improved by distinguishing it from siblings like list_rules or query_rules.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, conditions for each action, or situations where another tool would be more appropriate.

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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