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biothings_query_many_variants

Batch query variants by multiple identifiers (rsIDs, HGVS IDs, or mixed) in a single request using comma-separated terms.

Instructions

Batch query variants by multiple identifiers (e.g., rsIDs, HGVS IDs).

    Perform multiple variant queries in a single request using a comma-separated list of variant identifiers.
    This tool takes multiple **terms** (like rsIDs, HGVS IDs) in `query_list` and searches for them within the specified `scopes`.
    
    **Endpoint Usage:**
    - Query multiple rsIDs: `query_list=rs58991260,rs2500` with `scopes=dbsnp.rsid`
    - Query multiple HGVS IDs: `query_list=chr7:g.140453134T>C,chr1:g.69511A>G`
    - Query mixed IDs: `query_list=rs58991260,chr1:g.69511A>G` with `scopes=dbsnp.rsid,_id`
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNo
fieldsNoall
scopesNo
query_listYes

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 must fully disclose behavior. It explains the batch query mechanism and scope usage, but omits details on error handling, rate limits, or response structure.

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?

The description is moderately concise, using bullet points and examples efficiently, though it could be organized more tightly.

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

Completeness3/5

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

Given there is an output schema and no annotations, the description covers the core functionality and parameter usage, but lacks behavioral details and full parameter explanations, leaving some gaps for a 4-parameter tool.

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 0%, so the description should explain each parameter. It elaborates on query_list and scopes via examples, but does not clarify email or fields (defaults are mentioned but not explained).

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 tool performs batch queries for multiple variant identifiers (rsIDs, HGVS IDs) and distinguishes itself from siblings like biothings_get_variant by emphasizing multiple terms in a single request.

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 provides examples of when to use the tool (e.g., multiple rsIDs, HGVS IDs), but does not explicitly compare to sibling tools like biothings_query_variants or state when not to use it.

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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