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get_homology

Find homologous proteins across species using STRING database. Input protein identifiers to retrieve evolutionary relationships and cross-species protein matches.

Instructions

Get homology information for proteins across species using STRING.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifiersYesProtein names or STRING IDs, newline or space-separated
speciesNoSource species NCBI taxon ID
target_speciesNoTarget species NCBI taxon ID (optional)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states what the tool does but doesn't disclose behavioral traits like whether this is a read-only operation, what format the homology information returns, potential rate limits, error conditions, or authentication requirements. The description is minimal and lacks operational context.

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 a single, efficient sentence with zero waste. It's appropriately sized and front-loaded with the core purpose. Every word earns its place without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a tool that likely returns complex biological data, the description is incomplete. It doesn't explain what 'homology information' entails (e.g., sequence alignment scores, ortholog mappings), return format, or error handling. For a bioinformatics tool with 3 parameters, this leaves significant gaps for an AI agent.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (like explaining what 'homology information' includes or how identifiers map to results). Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get') and resource ('homology information for proteins across species') with the specific method ('using STRING'). It distinguishes from some siblings like 'get_enrichment' or 'get_network' by focusing on homology, but doesn't explicitly differentiate from 'get_homology_best' which appears to be a related tool.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'get_homology_best' or other sibling tools. It mentions the STRING source but doesn't explain context, prerequisites, or exclusions for usage.

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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