networking_mtu_size_calculator

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

No annotations are provided, so the description must cover behavioral traits. It states the tool calculates values with a breakdown, which suggests a pure computation with no side effects. However, it does not disclose potential errors, required permissions, or whether it accesses external resources. The mention of 'full page guidance' suggests additional information exists, which partially mitigates the gap.

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 relatively short but includes a redundant first sentence ('Menu ID: mtu_size_calculator') that restates the tool name. The core functionality is front-loaded, and the mention of using describe_tool is helpful, but the extra text could be trimmed for better conciseness.

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?

Given the tool has 5 required parameters, no output schema, and no annotations, the description is insufficient for an agent to fully understand how to invoke it correctly. It lists supported protocols but does not explain the calculation process, valid parameter values, or expected output. The direction to describe_tool indicates the description is incomplete on its own.

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 5 required parameters with 0% description coverage. The description lists technologies like Ethernet, IPv4/IPv6, TCP/UDP, and encapsulations, which provides hints for some parameters (e.g., ipVersion, transport, encapsulations), but it does not explain 'operation' or 'linkMtu' or map parameters to their roles. This leaves significant ambiguity for an AI agent.

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 it calculates optimal MTU and TCP MSS values with full header-overhead breakdown for various protocols and tunnels. It uses a specific verb ('Calculate') and resource ('MTU and TCP MSS values'), and the mention of multiple technologies distinguishes it from sibling networking tools.

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 implicitly suggests using this tool for MTU and MSS calculation related to specific encapsulations, but it does not explicitly state when to use it vs alternatives or provide exclusions. The reference to describe_tool for full guidance implies more context is available, but the definition itself lacks clear usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.