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get_interaction_network

Retrieves a protein interaction network from STRING for a given list of proteins, illustrating their connections and functional associations.

Instructions

Get interaction network between a list of proteins from STRING. Shows how multiple proteins interact with each other.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proteinsYesList of protein/gene names (e.g., ['TP53', 'BRCA1', 'ATM'])
speciesNoNCBI species taxonomy ID (default: 9606 for human)
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It only states it gets a network from STRING, omitting any details about edge representation, missing interactions, data source version, or rate limits. Limited transparency.

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 concise sentences with no extraneous information. Every word adds value, and the structure is front-loaded with the core action.

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?

Adequate for a simple 2-param tool, but lacks any description of the return value format (e.g., nodes, edges, scores). Without output schema, more detail on what the network looks like would be beneficial.

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?

Input schema has 100% description coverage for both parameters, so baseline is 3. The description adds no extra semantic meaning beyond what the schema already provides, merely implying the array of proteins is used for the network.

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 'Get interaction network between a list of proteins from STRING', specifying the verb, resource, and naming the source. This distinctly separates it from sibling 'get_protein_interactions' by emphasizing network among multiple proteins.

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?

No explicit guidance on when to use this tool versus alternatives like 'get_protein_interactions'. While implicit from context, the description itself fails to provide when/when-not or prerequisite conditions.

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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