Get firewall ruleset
lambda_get_firewall_rulesetGet a single firewall ruleset by id. Lambda Cloud REST: GET /api/v1/firewall-rulesets/{id}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The firewall ruleset id. |
lambda_get_firewall_rulesetGet a single firewall ruleset by id. Lambda Cloud REST: GET /api/v1/firewall-rulesets/{id}.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The firewall ruleset id. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the description need not restate safety. It adds minimal behavioral detail by specifying the endpoint and that it retrieves by ID. It does not describe error handling or response format, but for a read-only get operation, the annotation covers the key behavioral aspect.
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?
A single sentence that communicates the essential action, resource, and constraint. No redundancy, well-structured, and immediately front-loaded with the verb 'Get'.
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?
For a simple get-by-id operation with one parameter and no output schema, the description is sufficiently clear. It includes the REST endpoint and what the tool does. Could benefit from mentioning the return value, but it is implicit that it returns the firewall ruleset, and the low complexity keeps this from being a significant gap.
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?
Schema description coverage is 100% with the only parameter 'id' described as 'The firewall ruleset id.' The description's mention of 'by id' adds no new semantic meaning beyond what the schema already provides. Baseline 3 is appropriate.
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 clearly states the action ('Get'), the resource ('a single firewall ruleset'), and the specific scope ('by id'). It distinguishes from sibling tools like lambda_list_firewall_rulesets by explicitly indicating a single item lookup using an identifier, and the REST endpoint adds further precision.
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?
The description implies usage context: use when you have a specific ruleset ID and need that single ruleset. Although it does not explicitly exclude list alternatives, the phrase 'single firewall ruleset by id' provides clear context for when this tool is appropriate compared to listing tools.
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.
Each tool targets a distinct resource and action (e.g., list_instances vs. launch_instance vs. terminate_instances). There is no overlap or ambiguity between tools; even similar resources like firewall_rules and firewall_rulesets are clearly differentiated by name and description.
All tool names follow the verb_noun pattern with the lambda_ prefix, using lowercase and underscores consistently. The verb clearly indicates the operation (list, get, create, delete, launch, update, restart, terminate), and the noun indicates the resource. Minor pluralization differences (e.g., list_instances vs. get_instance) are conventional and do not break consistency.
15 tools is well-scoped for a GPU cloud management server, covering instances, filesystems, firewall rules, images, instance types, and audit events. Each tool serves a distinct purpose and no unnecessary duplication exists.
The instance lifecycle is well covered with launch, get, list, update, restart, and terminate. Filesystem and firewall read operations are present, but firewall rule/ruleset management (create/update/delete) is missing, which is a minor gap that may require working around via the dashboard.