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calculate_prs

Compute Polygenic Risk Scores by combining GWAS summary statistics with target genotype data, using p-value thresholds and LD clumping.

Instructions

Calculate Polygenic Risk Scores (PRS) for individuals using GWAS summary statistics and target genotypes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sumstats_pathYesPath to GWAS summary statistics (base data)
target_plink_prefixYesPath prefix for target PLINK files
pvalue_thresholdNoP-value threshold for SNP inclusion (default: 1.0 - all SNPs)
clump_r2NoLD r² threshold for clumping (default: 0.1)
output_pathNoPath to save PRS results
Behavior2/5

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

No annotations are provided, and the description fails to disclose behavioral traits such as computational cost, required file formats, external dependencies, or potential side effects. The description only repeats the tool's purpose.

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

Conciseness4/5

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

A single sentence with no extra words, but lacks structural elements like sections or bullet points. It is efficient but minimally informative.

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

Completeness2/5

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

For a tool with 5 parameters and no output schema, the description omits critical context such as output format, method details (e.g., clumping and thresholding), and error handling. The agent may need additional information to use it correctly.

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 coverage is 100%, so baseline is 3. The description adds no additional meaning beyond parameter names and schema descriptions. It does not explain parameter interactions or default behavior.

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 clearly states the specific action ('Calculate') and resource ('Polygenic Risk Scores') and specifies inputs (GWAS summary statistics and target genotypes). It distinguishes from sibling tools like 'run_gwas' or 'annotate_snps'.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The description does not mention prerequisites, context, or exclusions, leaving the agent without decision support.

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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