get_configuration

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 returns configuration and source info, but does not explicitly state if it's read-only or safe. The lack of mention of side effects is acceptable for a getter, but more clarity on behavioral traits would improve transparency.

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 well-structured with a main sentence and a Returns section, but it redundantly lists examples in both prose and the structured list. Slightly verbose, but overall clear and front-loaded.

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 no parameters and an output schema (implied), the description provides sufficient context about use cases (debugging, verification) and return content, making it complete for an agent to understand invocation and outcome.

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 tool has zero parameters, so the description need not add parameter semantics. Baseline of 4 is appropriate as it covers no-param case.

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 tool retrieves server configuration, listing specific settings (network, cache, logging). It distinctly differs from sibling tools like control_device or clear_cache, which involve mutations.

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 mentions use for debugging or verifying environment overrides, providing context. However, it does not state when to avoid use or name sibling alternatives, but siblings are mostly unrelated so exclusion is unnecessary.

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