remove_guardrails_policy

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. It states this is a removal/deletion operation (implying mutation), but doesn't specify if it's reversible, requires specific permissions, has side effects, or details error conditions. The return format is vaguely described as 'a dictionary containing the response message and details', lacking concrete behavioral traits.

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 appropriately sized and front-loaded with the core purpose in the first sentence. The Args and Returns sections are structured but slightly verbose (e.g., 'A dictionary containing...' could be tighter). Overall, it's efficient with minimal waste.

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 destructive tool with no annotations and no output schema, the description is incomplete. It lacks critical context: no warnings about irreversibility, no permission requirements, no error handling details, and only a vague return description. Given the complexity of policy removal, this leaves significant gaps for an agent.

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 0%, so the description must compensate. It documents the single parameter 'policy_name' and its purpose ('The name of the policy to remove'), adding essential semantics beyond the bare schema. However, it doesn't clarify format constraints (e.g., case-sensitivity, allowed characters) or provide examples, leaving some ambiguity.

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 ('Remove') and resource ('an existing guardrails policy'), making the purpose unambiguous. It distinguishes from siblings like 'add_guardrails_policy' and 'update_guardrails_policy' by specifying removal, though it doesn't explicitly contrast with 'mitigation_guardrails_policy' or 'retrieve_policy_configuration'.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing policy), exclusions, or compare with related tools like 'update_guardrails_policy' or 'mitigation_guardrails_policy', leaving usage context unclear.

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