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

Annotations already declare readOnly=false, destructive=false, openWorld=true, idempotent=false, so the safety profile is covered. The description adds real value beyond them: all-or-nothing atomicity and the fact that the error identifies the offending entry, which materially affects how an agent should retry or split a batch.

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?

Three short sentences, front-loaded with the capability, then the atomicity constraint, then the sibling routing. Every sentence carries distinct information with no repetition of the title or schema.

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 single-parameter batch tool with an output schema, the description covers the operation, its limit, its failure semantics, and its relationship to log_entry. Nothing an agent needs to invoke it 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 coverage is 100% and the nested entries schema documents note, tags, value, values, topicId and occurredAt in detail, so the schema does the heavy lifting. The description only restates the 50-item cap that maxItems already encodes and adds example scenarios, so 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 gives a specific verb (records), resource (entries), and scope (up to 50 in one call), then distinguishes the tool from its sibling by naming log_entry explicitly. An agent can tell immediately that this is the batch variant of log_entry.

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?

"Prefer this over repeated log_entry calls" names the alternative and the condition that selects it, and the meal/backlog examples make the intended batch use concrete. There is no explicit statement of when not to use it (e.g., for a single entry), so it falls short of a full when/when-not treatment.

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