get_preferences

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

No annotations are present, so the description carries the transparency burden. 'Fetch' communicates a non-mutating read, and the api_key fallback adds useful auth context. However, it does not explicitly state that no data is modified or describe what happens if the API key is missing, though the fetch semantics largely cover the safety profile.

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 two sentences with no filler: the core operation is front-loaded, and the parameter detail is compactly presented in an Args block. Every element earns its place.

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?

With an output schema present and a single optional parameter, the description covers the essential invocation details. The only notable gap is not explicitly distinguishing this tool from update_preferences, but the verb 'Fetch' largely covers that.

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 for the bare api_key schema. It does by explaining the API key's purpose and the MESS_API_KEY environment-variable fallback, which the schema alone does not convey. This adds real semantic value.

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 ('Fetch') and a clear resource ('all saved user preferences from the Mess portal'), so an agent can tell what the tool does. It does not explicitly differentiate itself from sibling update_preferences, but 'fetch' versus 'update' is a strong enough contrast.

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 implies this is the read path for preferences, but it does not explicitly state when to use it versus update_preferences or other siblings. There is no 'when not to use' guidance. For a simple getter this is adequate but not exemplary.

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