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Biomarker Panel Design

biomarker_panel_design
Read-onlyIdempotent

Design disease-focused biomarker panels by integrating Open Targets evidence and literature to identify relevant biomarkers for specified conditions and contexts.

Instructions

Draft a disease-focused biomarker panel using Open Targets evidence with a literature fallback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
diseaseYesDisease, indication, or phenotype of interest.
panel_sizeNoNumber of biomarkers to include. Default 10.
contextNoContext such as oncology, inflammation, or rare disease.
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds valuable context: the tool uses Open Targets evidence with a literature fallback, which helps agents understand behavior when evidence is lacking. This goes beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys the core purpose and method with no unnecessary words. It is front-loaded and earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 3 parameters with full schema descriptions, comprehensive annotations, and no output schema, the description is fairly complete. It explains the evidence sources and fallback, though it could mention the output format. Overall, it provides sufficient context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description does not elaborate on parameters beyond what the schema provides, so no additional value is added.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('draft') and resource ('biomarker panel') and specifies the evidence sources ('Open Targets evidence with a literature fallback'). It clearly distinguishes this tool from siblings, which focus on other analyses.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for disease-focused panel design but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives. It is adequate but lacks explicit direction.

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

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