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Get Gene Group

get_gene_group
Read-onlyIdempotent

Fetch paginated, symbol-ordered summaries of genes in an HGNC group by providing the group's numeric ID or name.

Instructions

Browse a HGNC gene group/family by numeric group id (e.g. '1157') or by name (e.g. 'RAF family'). Returns the member genes as symbol-ordered summaries. Members are paginated with limit + offset; the response carries member_count, returned, truncated, and next_offset, and (when truncated) a next_commands entry that fetches the next page. A name matching several groups returns the candidate groups so you can re-call with a specific id. Signature: get_gene_group(group, limit=, offset=, response_mode=).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYesGene group id (numeric) or group name.
limitNoMax members (default 200).
offsetNoSkip this many members for pagination (default 0).
response_modeNoVerbosity: minimal | compact | standard | full (default compact).compact
Behavior5/5

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

Annotations (readOnlyHint, idempotentHint) are reinforced by description detailing pagination, response fields (member_count, returned, truncated, next_offset, next_commands), and ambiguity resolution. No contradictions.

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?

Single, well-structured paragraph with clear sentences. Front-loads the main action, then details pagination and edge cases. No wasted words.

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

Completeness5/5

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

Despite no output schema, the description fully explains pagination, ambiguity handling, and response structure. Covers all necessary behaviors for an AI agent to use the tool correctly.

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

Parameters4/5

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

Schema covers 100% parameters, but description adds meaning: group parameter examples, pagination behavior for limit/offset, and response_mode verbosity levels. Enhances understanding beyond schema.

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 verb 'Browse' and the resource 'HGNC gene group/family', with specific input options (numeric id or name). It distinguishes from siblings like get_gene which handles individual genes.

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?

Explicit usage context: browse groups by id or name. It describes how to handle ambiguous names by returning candidates for re-call with an id. Lacks explicit when-not-to-use, but sibling names provide context differentiation.

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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