Skip to main content
Glama
musharna

plant-genomics-mcp

by musharna

ATTED-II: Coexpression

atted_coexpression
Read-onlyIdempotent

Fetch co-expressed gene neighbors for a plant locus from ATTED-II, returning top-ranked candidates with z-scores for functional association analysis.

Instructions

Fetch co-expressed gene neighbors from ATTED-II (atted.jp, API v5) for a plant locus. Returns top_n neighbors with target locus + NCBI Entrez gene ID + z-score (higher = stronger coexpression). The ATTED-II release (e.g. Ath-u.c4-0 for Arabidopsis, Osa-u.c1-0 for rice) is resolved per-organism; wheat, sorghum, barley, poplar, and brachypodium have no published release and raise OrganismNotSupported. Pairs with string_interactions to surface high-confidence functional partners (interactors that are also coexpressed).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locusYesPlant locus, e.g. AT1G01010 (Arabidopsis) or Os01g0100100 (rice)
top_nNo
organismNoPlant organism — accepts canonical slug (arabidopsis_thaliana), scientific or common name, or NCBI taxidarabidopsis_thaliana

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
locusYes
neighborsYes
atted_releaseYesATTED-II DB identifier, e.g. Ath-u.c4-0 (release version included)
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral details: the ATTED-II release is resolved per-organism, and unsupported organisms raise OrganismNotSupported. It also describes the output: locus, Entrez ID, and z-score ranking.

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, each adding necessary information: action, return format, organism resolution, and pairing hint. No filler or repetition.

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 3 parameters (1 required) with 67% schema coverage and an output schema, the description covers the core functionality, supported organisms, error behavior, and integration with a sibling tool. It is fully adequate for an agent to use 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 description coverage is 67% (locus and organism documented). The description adds meaning to top_n by specifying it returns 'top_n neighbors' and clarifies the z-score meaning. This compensation warrants a 4.

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 action 'Fetch co-expressed gene neighbors from ATTED-II' and specifies the return format (target locus, Entrez ID, z-score). It also explicitly mentions pairing with string_interactions to identify functional partners, distinguishing it from sibling tools like string_interactions itself.

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 provides clear context by listing supported organisms and noting that unsupported ones (wheat, sorghum, etc.) raise an OrganismNotSupported error. It also hints at use with string_interactions for high-confidence partners. However, it does not suggest alternative tools for unsupported organisms.

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/musharna/plant-genomics-mcp'

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