cidr_contains
Check if IP address falls within a CIDR range.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | ||
| cidr | Yes |
Check if IP address falls within a CIDR range.
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | ||
| cidr | Yes |
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?
With no annotations provided, the description carries the full burden of behavioral disclosure but only states the basic purpose. It does not mention return type, error handling, input validation, or any side effects. The agent is left to assume it returns a boolean.
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?
The description is a single sentence that communicates the purpose efficiently. However, given the lack of annotations and minimal parameter details, it may be too brief to be fully helpful.
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?
The tool has no output schema and no annotations, and the description does not explain how to interpret the result (e.g., returns boolean) or handle edge cases. This is insufficient for an agent to use the tool correctly without further context.
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 input schema has 0% description coverage for parameters, and the tool description does not elaborate on the parameters beyond their names (ip, cidr). No format or constraints are added, so the description adds no value over the schema.
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 verb 'Check' and resource 'IP address falls within a CIDR range', making the purpose specific and distinguishable from sibling tools like cidr_calc, which likely focuses on CIDR calculations.
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 that this tool is for membership checking, but it does not explicitly state when to use it versus alternatives like cidr_calc, nor does it provide any usage constraints or prerequisites.
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.
Every tool has a clear, distinct purpose with thorough descriptions. Even closely related tools like base64_decode/encode and hash_md5/sha256 are easily differentiated by name and description.
All tools follow a consistent lowercase_underscore naming convention, typically in a <domain>_<action> or <action>_<domain> pattern. There are no jarring deviations or mixed styles.
193 tools is an extreme count, far beyond what any focused server needs. While each tool has utility, the sheer number creates a kitchen-sink effect that overwhelms agents and hinders discoverability.
Within each subdomain (JSON, cron, JWT, etc.), the coverage is exhaustive, covering validation, conversion, parsing, and more. Minor gaps exist (e.g., YAML-to-TOML conversion missing), but overall it is remarkably complete.