List firewall rulesets
lambda_list_firewall_rulesetsList firewall rulesets (id, name, region, rules) that can be applied to instances. Lambda Cloud REST: GET /api/v1/firewall-rulesets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
lambda_list_firewall_rulesetsList firewall rulesets (id, name, region, rules) that can be applied to instances. Lambda Cloud REST: GET /api/v1/firewall-rulesets.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe, non-mutating read. The description adds useful context by naming the fields returned and the REST endpoint, but says nothing about pagination, filtering, or auth requirements, so it adds moderate value over the annotations without being rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two compact sentences with the scope front-loaded and the REST endpoint trailing as supporting metadata. Nothing is redundant or padded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no parameters, the description carries the return-shape burden and discharges it by listing id, name, region, and rules. For a simple read-only list this is nearly complete, missing only pagination/ordering behavior and auth prerequisites.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, which is the baseline-4 case: there is no parameter semantics to convey and the description correctly does not invent any. The enumerated return fields serve as the only meaningful contract detail available.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a specific verb and resource ('List firewall rulesets') and enumerates the returned fields (id, name, region, rules), plus the underlying REST call. It never names a sibling to distinguish itself from, so it falls just short of the top band despite being unambiguous about what it returns.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied by the phrase 'that can be applied to instances' – an agent can infer this is the lookup step before attaching a ruleset to an instance, but there is no explicit when-to-use, no exclusion, and no pointer to lambda_get_firewall_ruleset or lambda_create_filesystem as alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.