Skip to main content
Glama

Resolve Gene Symbols (Batch)

resolve_symbols_batch
Read-onlyIdempotent

Resolves up to 200 gene symbols or HGNC IDs to canonical identifiers, using current, previous, and alias nomenclature. Returns per-query results with resolved and unresolved counts, without failing on individual misses.

Instructions

Resolve a batch of gene symbols / HGNC ids in one call (max 200). Each entry is resolved with the same current->previous->alias cascade as resolve_symbol; an individual miss or withdrawal never fails the batch (it is marked unresolved / obsolete in that entry). Returns per-query results plus resolved/unresolved counts. Signature: resolve_symbols_batch(queries, response_mode=).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesYesGene symbols and/or HGNC ids to resolve (max 200).
response_modeNoVerbosity: minimal | compact | standard | full (default compact).compact

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hintNo
_metaNo
fieldNo
messageNo
resultsNo
successNo
obsoleteNo
retryableNo
candidatesNo
error_codeNo
query_countNo
replaced_byNo
allowed_valuesNo
resolved_countNo
recovery_actionNo
unresolved_countNo
Behavior4/5

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

Annotations already provide safety profile (readOnly, idempotent, non-destructive). The description adds useful behavioral details: batch limit, error handling (failures mark as unresolved), per-query results with counts, and cascade logic. No contradiction with 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?

Three sentences, front-loaded with main purpose. Every sentence adds information. No 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 batch complexity and presence of output schema (return values not needed), the description covers error behavior, batch limit, comparison to singular tool, and parameter options. Could mention output structure briefly but not essential.

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 coverage is 100% with descriptions, and the description adds value beyond schema: explains the cascade behavior for resolution and the error handling. The signature mention reinforces parameter usage.

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 it resolves a batch of gene symbols/HGNC ids, specifies the max batch size (200), and distinguishes from the sibling tool 'resolve_symbol' by being batch and noting the same cascade approach.

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?

The description explains that individual failures don't fail the batch, implying when to use this over singular resolve_symbol. It doesn't explicitly list alternatives but context from sibling tools makes it clear. Could be more explicit about when not to use.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/berntpopp/hgnc-link'

If you have feedback or need assistance with the MCP directory API, please join our Discord server