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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds genuine behavior beyond that: results include their ID, and update/delete can resolve results independently so this isn't a mandatory prerequisite. It doesn't describe volume/pagination behavior, but the output schema covers the return shape.

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?

Front-loads purpose, then the prerequisite-relaxation note, then use cases, then an INFER block for defaults. Dense but each clause carries routing or default guidance; the em-dash aside about update/delete is slightly long but earns its place by preventing unnecessary calls.

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?

An output schema exists, so return values need no explanation. The description covers purpose, when-to-use, when-not-to-use, alternatives, and the default-date inference policy — everything an agent needs to invoke it correctly without asking the user.

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%, so all four parameters (start_date, end_date, panel_name, marker_name) are already documented with formats and defaults. The description reinforces the date defaults via the INFER block but adds no syntax or matching semantics beyond what the schema already states, 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?

States a specific verb (List) and resource (lab/biomarker results) plus scope (within a date range) and even what each record carries (the ID). It distinguishes itself from siblings like update_lab_result/delete_lab_result and list_lab_markers, so an agent can pick it without opening a schema.

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?

Explicitly names the alternatives (update_lab_result/delete_lab_result can resolve a result on their own) and states when this tool is NOT required before them. It then enumerates positive use cases: reviewing lab history, answering trend/marker questions, and disambiguating an id after an ambiguous match.

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