Bulk log intake

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

Beyond annotations (non-readonly, non-destructive), the description discloses that items go through the same pipeline, the batch shares one flag, and partial failures don't lose the rest. No contradictions.

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?

Two sentences efficiently convey the core function, use case, and key behavior. No redundant 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?

Given no output schema, the description adequately covers return behavior (per-item success/failure). It explains batch sharing and partial failure handling, making it complete for this operation.

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 67% (descriptions for items and explicit_user_intent). The description adds value by explaining that items are batch-processed with a shared flag and per-item success/failure, which goes beyond the schema.

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 logs multiple intake entries per call (verb+resource). It distinguishes from sibling nourish_log_intake by emphasizing batch processing and sharing one explicit_user_intent flag.

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?

It provides clear context for use (e.g., Telegram users with multi-meal logs) and mentions that the batch shares one intent flag. However, it does not explicitly state when not to use it or list alternatives beyond the single-log sibling.

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