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amittell

firewalla-mcp-server

resume_rule

Resume a previously paused firewall rule to restore its active state and enforce security policies.

Instructions

Resume a previously paused firewall rule, restoring it to active state

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boxYesBox GID for context (required by API)
rule_idYesRule ID to resume
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool performs a mutation ('Resume'), implying it changes the rule state, but lacks details on permissions required, whether the action is reversible, error conditions, or rate limits. This is a significant gap for a mutation tool with zero annotation coverage.

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?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core action and outcome, making it easy to understand quickly. Every part of the sentence contributes directly to the tool's purpose.

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

Completeness2/5

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

Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information on behavioral traits like side effects, error handling, or return values. While concise, it does not provide enough context for safe and effective use by an AI agent.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents both parameters ('rule_id' and 'box'). The description does not add any meaning beyond the schema, such as explaining parameter relationships or usage context. Baseline 3 is appropriate when the schema handles all parameter documentation.

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?

The description clearly states the action ('Resume'), the resource ('a previously paused firewall rule'), and the outcome ('restoring it to active state'). It uses specific verbs and distinguishes itself from siblings like 'pause_rule' by indicating the opposite operation.

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

Usage Guidelines3/5

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

The description implies usage by mentioning 'previously paused firewall rule,' suggesting it should be used only on rules that are currently paused. However, it does not explicitly state when to use this tool versus alternatives like 'pause_rule' or other rule-management tools, nor does it provide exclusions or prerequisites.

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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