Skip to main content
Glama
musharna

plant-genomics-mcp

biological_context_synth

Resolve a plant gene locus to retrieve functional annotations, homologs, pathways, protein interactions, co-expression partners, and a consensus ranking of interacting partners across multiple databases.

Instructions

Synthesis: one-call equivalent of the biological_context prompt. Resolves UniProt accession, then fans out to Gramene homologs, KEGG pathways, STRING-DB partners, and ATTED-II coexpression in parallel. Adds a consensus_partners ranking that merges STRING + ATTED scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locusYes
organismNoPlant organism — accepts canonical slug (arabidopsis_thaliana), scientific or common name, or NCBI taxidarabidopsis_thaliana
top_nNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesSynthesis tool name, e.g. analyze_locus_synth
inputYesEchoed input arguments
started_atYesISO 8601 UTC timestamp
elapsed_sYesTotal orchestrator wall time
stepsYesPer-backend execution rows
resultNoComposed cross-source result; None if root step failed
Behavior4/5

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

Without annotations, the description carries the burden. It discloses the parallel fan-out logic and consensus ranking, which goes beyond basic functionality. However, it does not mention error handling, partial failures, or specific prerequisites.

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?

The description is two sentences with no wasted words, front-loading the key synthesis concept. It is appropriately sized for a straightforward combined tool.

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 the complexity of a synthesis tool and the presence of an output schema, the description covers the workflow and output features but lacks details on error handling and parameter specifics for locus and top_n.

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

Parameters2/5

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

Schema description coverage is 33% (only organism has a description). The tool description adds no additional parameter info beyond what the schema provides, failing to compensate for the low coverage.

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 is a one-call synthesis that resolves UniProt accession and fans out to multiple databases (Gramene, KEGG, STRING, ATTED-II), adding a consensus ranking. It distinguishes itself from sibling atomic tools by being a combined 'synthesis' tool.

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 implies it is for comprehensive biological context but does not provide explicit when-to-use or when-not-to-use guidance, nor does it compare with alternatives like analyze_locus_synth or individual tools.

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