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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered. The description adds useful behavioral detail beyond the annotations by specifying that the response includes whether post-processing is enabled and the saved Python code, which is the main return content an agent needs. It does not describe error behavior when the inbox has no configuration, but the core read behavior is well disclosed.

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 a single efficient sentence that front-loads the operation and then specifies the key return contents. Every phrase earns its place, with no redundant restatement of the title or extraneous detail.

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 simple single-parameter read operation with rich annotations and full schema coverage, the description is nearly complete. It tells the agent what the tool returns, which is important because there is no output schema. Minor gaps remain around behavior when no configuration exists, but nothing essential for calling the tool correctly is missing.

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 100%, and the single parameter inbox_id is fully documented in the schema. The description only restates that the configuration is 'for an inbox' and adds no new semantics such as format, validation rules, or lookup behavior beyond what the schema already provides. 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?

The description uses a specific verb and resource: 'Get the current Airparser post-processing configuration for an inbox.' It clearly states what is retrieved, including enabled status and saved Python code, so the agent understands the core operation without opening the schema. However, it does not explicitly differentiate itself from related siblings such as get_postprocessing_runtime_rules or save_postprocessing_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?

Usage is implied by the wording 'Get the current ... configuration,' suggesting the tool is used to inspect existing post-processing settings before editing or enabling them. There is no explicit guidance on when to choose this tool versus get_postprocessing_runtime_rules or when not to use it.

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