Check if an IP address is private (RFC 1918 for IPv4).
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | IP address to check |
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | ||
| error | No | ||
| is_private | No | ||
| matching_range | No |
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, the description carries the full burden. It discloses the check is for IPv4 private per RFC 1918, but does not mention behavior for invalid input or the return format. The existence of an output schema may cover returns, but the description could add value by stating 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?
A single sentence delivers all necessary information without any redundant words or filler.
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 boolean check with one parameter and an existing output schema, the description covers the essential information. It explicitly limits to IPv4, which is sufficient. A minor addition about return type or invalid input handling could improve completeness.
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 coverage is 100% with a basic description for 'ip'. The tool description adds significant context by specifying the check is for private IPs per RFC 1918, which goes beyond the schema's 'IP address to check'.
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 specifies the verb 'Check', the resource 'IP address', and the specific standard 'RFC 1918 for IPv4', making it distinct from sibling IP tools like is_valid_ip or ip_in_network.
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 the tool is for checking private IPv4 addresses, but it does not explicitly state when to use it versus alternatives like is_valid_ip or private_ip_ranges, nor does it provide any usage exclusions.
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.
Many tools have overlapping purposes, such as multiple random generators (random_integer, random_number), duplicate hashing functions (hash_md5, md5_checksum), and near-identical tools (compare, compare_2, compare_decimals). The sheer number of tools and lack of clear boundaries make it difficult for an agent to differentiate.
Naming is highly inconsistent. There are duplicate tools with different names (camel_case vs to_camel_case, slug vs slugify), arbitrary suffixes like '_2', and mixing of patterns (e.g., generate_password vs password_entropy). No clear convention is followed.
With 572 tools, the server is massively overpopulated for any coherent purpose. It includes trivial endpoints (true_endpoint, null, hello_world) and numerous duplicates, far exceeding a well-scoped utility set.
While the server covers many domains (math, strings, dates, colors, etc.), the presence of duplicate and trivial tools indicates a lack of thoughtful curation. There are gaps in basic operations (e.g., no dedicated file or network tools), and many tools are redundant.
