cfg_optimize

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

No annotations are provided, so the description carries the full burden. It discloses that the tool analyzes and suggests optimizations, implying read-only behavior. However, it does not explicitly state that no modifications are made, nor does it describe any side effects, authorization needs, or data handling. Basic transparency is present but not detailed.

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 short (two sentences plus a parameter section) and front-loaded with the main purpose. The parameter section is somewhat redundant but not excessively verbose. Every sentence adds value, though the structure could integrat the parameter description more concisely.

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 simple one-parameter input and the presence of an output schema, the description covers the tool's purpose and input without needing to detail return values. It lists the types of optimizations checked, providing sufficient context for an AI agent to decide when to invoke. However, it omits any mention of prerequisites or limitations.

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?

With schema description coverage at 0%, the description adds meaning by specifying that 'config_content' is 'The OpenSIPS configuration text to analyze.' This is a basic explanation but does not elaborate on format, size limits, or specific expectations. For a single required parameter, the added semantics are minimal but adequate.

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 states 'Analyze an OpenSIPS configuration and suggest optimizations,' which is a specific verb+resource. It lists types of issues checked (missing modules, redundant settings, etc.), making the purpose clear. However, it does not explicitly differentiate from sibling tools like cfg_tune, which also focuses on tuning.

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?

No guidance is provided on when to use this tool versus alternatives such as cfg_lint, cfg_validate, or cfg_tune. The description lacks any when/why context, leaving the agent to infer usage without explicit direction.

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