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list_sequences

List the reference sequences (chromosomes/contigs) in a variant set to obtain valid reference names for downstream variant queries and analysis.

Instructions

List the reference sequences (chromosomes/contigs) available in a variant set.

Use this to discover valid reference_name values for the region filters on count_variants / search_variants / the QC & diversity tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variant_set_db_idYesBrAPI variantSetDbId identifying the run (MODULE§project§run); from list_variant_sets / list_content.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states the tool lists sequences but does not describe any behavioral traits such as pagination, performance, authentication needs, or whether the output includes both names and IDs. For a simple list operation, this is adequate but not exceptional.

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?

Two sentences, front-loaded with the primary purpose and followed by usage guidance. Every word contributes meaning; no redundancy or fluff.

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's simplicity (1 parameter, no enums, output schema present), the description is sufficient. It explains what the tool does and why it's useful. It could be slightly more complete by mentioning the return type, but the context is adequately covered.

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%, and the schema already provides a detailed description for the single required parameter (variant_set_db_id). The description adds no additional meaning beyond what the schema conveys, so the baseline of 3 is appropriate.

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 ('list') and resource ('reference sequences') with context ('available in a variant set'), clearly distinguishing it from sibling tools like count_variants and search_variants which operate on variants, not sequences.

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

Usage Guidelines4/5

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

Explicitly states the tool's purpose: to discover valid 'reference_name' values for region filters on specific tools (count_variants, search_variants, QC & diversity tools). This provides clear context for when to use it, though it does not mention when not to use it or alternatives.

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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