create_routing_code

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

Discloses the key behavioral trait (human-in-the-loop requirement) and the two-step invocation pattern. However, does not mention side effects, permissions, or the fact that the first call returns a confirmation token (though implied).

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?

Extremely concise: two sentences plus a procedural note. Purpose is front-loaded, and every sentence adds value. No fluff.

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?

Covers the critical human-in-the-loop workflow. The output schema exists, so return values need not be in the description. Could mention that creation is immediate or provide error handling hints, but overall sufficient for a tool with 8 parameters and a two-step process.

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%, so the schema fully documents parameters. The description adds value only for the confirmation_token parameter in terms of usage, not semantics. 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?

Clearly states 'Create a routing code' with the HTTP method, distinguishing it from sibling tools like update_routing_code and replace_routing_code.

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?

Explicitly describes the two-step human-in-the-loop process: call without confirmation_token, show summary, then call with token. This provides clear, actionable usage instructions.

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