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plant-genomics-mcp

by musharna

Phytozome: Locus Metadata

phytozome_lookup_locus
Read-onlyIdempotent

Retrieve gene metadata from Phytozome using a locus identifier and optional organism. Returns organism, gene name, chromosome, coordinates, strand, and description.

Instructions

Fetch a gene record from Phytozome BioMart (phytozome-next.jgi.doe.gov). Defaults to arabidopsis_thaliana; pass organism= for other Phytozome proteomes (slug, scientific/common name, or NCBI taxid — e.g. glycine_max, sorghum_bicolor). Locus is the source-genome gene name (e.g. AT1G01010, Glyma.01G000100). Returns organism_name, gene_name, chromosome, gene_start, gene_end, strand, description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locusYese.g. AT1G01010 (Arabidopsis), Glyma.01G000100 (soybean)
organismNoPlant organism — accepts canonical slug (arabidopsis_thaliana), scientific or common name, or NCBI taxidarabidopsis_thaliana

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
strandYesString — typically "1" or "-1"
gene_endYesString — BioMart TSV is untyped
gene_nameYes
chromosomeYes
gene_startYesString — BioMart TSV is untyped
descriptionYes
organism_nameYes
Behavior4/5

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

Description adds context beyond annotations (readOnlyHint, idempotentHint) by detailing the source URL and return field names. No contradictions; it complements annotation with operational details.

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 efficiently convey purpose, defaults, parameter formats, and return fields. Information is front-loaded and every sentence adds value.

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?

Given the presence of an output schema (implied by return field list) and strong annotations, the description fully covers what the tool does, its parameters, and return values. No gaps for a lookup tool.

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

Parameters5/5

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

Schema coverage is 100% with both parameters described. Description adds examples for locus format and clarifies organism parameter accepts multiple name forms, enhancing 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 tool fetches a gene record from Phytozome BioMart, specifying the data source and return fields. It distinguishes from siblings like ensembl_plants_lookup_locus by naming the specific database.

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?

Description explains defaults (arabidopsis_thaliana) and how to specify organism via slug, name, or taxid. It implies usage context for Phytozome genes but could be more explicit about when to choose this over alternative tools for other databases.

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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