get_lab_scope

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

With no annotations, the description carries the burden of behavioral disclosure. It does mention several important traits: decision_support_only, not validated for hospital deployment, does not confirm current acceptance, and a warning against inputting patient data. However, it does not explain side effects, output behavior, or error conditions, leaving significant gaps.

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 brief and contains multiple distinct pieces of information, but it is not well-structured. The main purpose is vague and the flags are listed without context. The Chinese instruction is important but buried at the end; front-loading the query semantics would improve clarity.

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?

Although an output schema exists, the description fails to explain when to use the tool, what the query parameter should contain, or how the returned data relates to CDC lab recognition. For a low-complexity tool, this is still insufficient because the core semantics are 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?

The input schema has one parameter 'query' with zero description coverage. The tool description does not explain what 'query' means, its expected format, or examples. It only adds a constraint (no patient data), which is not an adequate substitute for semantic guidance.

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 'CDC recognized-lab compatibility alias' hints at a compatibility check but never states the actual operation or what it returns. It lacks a specific verb like 'check' or 'retrieve' and does not clearly differentiate from sibling tools such as get_license or find_authorized_lab.

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 context is provided about when to use this tool versus the many sibling search/query tools. There is no mention of scenarios, prerequisites, or exclusions. The description only lists internal flags, which do not guide tool selection.

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