list_journal_entries

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

With no annotations provided, the description carries the transparency burden. The verbs 'List' and 'Returns' clearly indicate a read-only operation, and the description discloses what content the response includes. It does not mention sorting or pagination, but for this simple list tool, the essential behavior is transparent.

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 concise and well-structured: the main action and scope are front-loaded, followed by return values, usage intent, and a helpful format-specification pointer. Every sentence contributes meaningful information.

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 tool with one optional parameter and no output schema, the description provides enough information to use it correctly: what it lists, what it returns, why to use it, and where to find format details. The date default is covered by the schema rather than the description, which is acceptable.

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 only parameter, date, is fully documented in the input schema with format and default behavior. The description adds no additional parameter-level detail beyond the schema, so the baseline score of 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 clearly states the operation ('List'), the resource ('journal entries'), and the scope ('for a specific date'), and enumerates what is returned. This makes it easy to distinguish from get_journal_entry, which retrieves a single entry, and search_journal, which implies broader search behavior.

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 explicitly gives a use case: check what is already logged before creating new entries to avoid duplicates. It provides clear context for when to use this tool, though it does not explicitly name alternatives or exclusions beyond that.

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