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get_network_interactions

Retrieve protein-protein interaction network data from the STRING database to analyze functional or physical relationships between proteins using confidence scores and species-specific identifiers.

Instructions

Retrieve STRING interaction edges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifiersYesProtein list
speciesNoNCBI/STRING taxon (e.g. 9606 for human)
required_scoreNoInteraction confidence score threshold (0-1000)
add_nodesNoNumber of additional nodes to add
network_typeNoType of interactions
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action ('Retrieve') without details on permissions, rate limits, output format, or side effects. For a tool with 5 parameters and no output schema, this is insufficient to inform safe and effective use.

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 is front-loaded and appropriately sized for the tool's complexity, making it easy to parse without unnecessary elaboration.

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 the tool's complexity (5 parameters, no output schema, no annotations), the description is incomplete. It lacks details on behavioral traits, output expectations, and differentiation from siblings, leaving significant gaps for an agent to understand how to use this tool effectively.

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 input schema fully documents all parameters. The description adds no additional meaning beyond the schema, such as explaining how parameters interact or providing examples. Baseline 3 is appropriate as the schema handles the heavy lifting.

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

Purpose3/5

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

The description states the action ('Retrieve') and resource ('STRING interaction edges'), providing a basic purpose. However, it lacks specificity about what 'interaction edges' are (e.g., protein-protein interactions) and doesn't distinguish this tool from siblings like 'get_interaction_partners' or 'get_ppi_enrichment', leaving the scope vague.

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 guidance is provided on when to use this tool versus alternatives. The description doesn't mention context, prerequisites, or exclusions, such as how it differs from 'get_interaction_partners' or 'get_ppi_enrichment', leaving the agent with no usage direction.

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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