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get_ppi_enrichment

Calculate protein-protein interaction enrichment statistics to identify biologically significant connections within a protein list using the STRING database.

Instructions

Get protein-protein interaction enrichment statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifiersYesProtein list
speciesNoNCBI/STRING taxon (e.g. 9606 for human)
required_scoreNoInteraction confidence score threshold (0-1000)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool does without mentioning permissions, rate limits, output format, or other behavioral traits like whether it's read-only or has side effects. This is inadequate for a tool with parameters and no 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?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.

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 has 3 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, output expectations, and usage context, which are crucial for an agent to effectively invoke this tool without structured support.

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 the parameters. The description does not add any additional meaning beyond what the schema provides, such as explaining the significance of 'enrichment statistics' or how parameters interact. 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.

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 the resource 'protein-protein interaction enrichment statistics', making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'get_functional_enrichment' or 'get_interaction_partners', which might offer related but distinct functionalities, so it misses full sibling differentiation.

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. With sibling tools such as 'get_functional_enrichment' and 'get_interaction_partners' available, there is no indication of context, prerequisites, or exclusions, leaving the agent without 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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