get_labs

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not state that the tool is read-only, whether it returns all records or only the latest, or what happens if the patient_id is invalid. The description is limited to a raw statement of functionality, omitting important behavioral traits.

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, concise sentence that fully states the tool's purpose and key data contents. It is front-loaded with the essential information and contains no redundant or vague phrasing, making it efficient and well-structured.

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?

The description provides the core function and sample content, which is adequate for a simple retrieval tool with an output schema. However, it lacks context about when to use it, the meaning of patient_id, and any constraints or prerequisites, leaving it minimally viable but not fully complete.

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 schema provides no description for patient_id, and the tool description also fails to explain what the parameter represents or how to obtain it. Since schema description coverage is 0%, the description must compensate but does not, leaving the agent with only the parameter name to infer meaning.

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's function: retrieving a child patient's laboratory records, and names specific contents (blood potassium, phosphorus, albumin, BUN, urine output). This distinguishes it from sibling tools like get_diet_diary and get_patient_profile, which serve different data domains.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention contexts such as reviewing a patient's lab results or the need for a valid patient_id. The description simply states what it does without any usage context or exclusions.

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