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musharna

plant-genomics-mcp

by musharna

Gramene Homologs

gramene_homologs
Read-onlyIdempotent

Retrieve orthologs and paralogs for a plant locus using Gramene compara. Filter by homology type: ortholog, paralog, or all. Returns target locus with homology category and gene tree ID.

Instructions

Fetch orthologs and paralogs for a plant locus from Gramene compara (data.gramene.org v69). Default homology_type='ortholog'; pass 'paralog' for in-species duplicates or 'all' for everything. Returns target_locus + homology category (type) + shared gene_tree_id per hit. The fl=homology projection does not carry per-row taxon, identity, or protein ID; pair with resolve_locus_to_uniprot for protein-level enrichment and with blast_sequence for sequence similarity discovery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax homolog rows to return. 'total' always reports the true pre-cap count and 'truncated' says whether the cap bit.
locusYese.g. AT1G01010 (Arabidopsis), Os01g0100100 (rice)
homology_typeNoFilter on homology kindortholog

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
locusYes
totalYesNumber of homologs after filtering, BEFORE the row cap
releaseYesGramene release identifier, e.g. v69
homologsYes
truncatedNoTrue when the row list was capped (< total); pass limit= to change the cap
Behavior5/5

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

Annotations indicate safe, idempotent read operation. Description adds key limitations (no per-row taxon/identity/protein ID) and details return structure, enhancing beyond 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-sentence paragraph that is direct and informative without redundancy.

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 output schema exists, description covers return fields and provides integration guidance, fully addressing the tool's complexity.

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%. Description adds value with examples for locus, explains default and behavior for homology_type, and clarifies limit reporting (total, truncated).

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?

Clearly states it fetches orthologs and paralogs for a plant locus from Gramene compara, specifying data source and version. Differentiates from siblings by naming Gramene and offering homology_type options.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit defaults and alternatives (ortholog, paralog, all) and suggests complementary tools (resolve_locus_to_uniprot, blast_sequence) for enriched analysis.

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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