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uniprot_get_go_terms

Read-only

Retrieve Gene Ontology annotations grouped by aspect for a given UniProt accession. Optionally filter by molecular function, biological process, or cellular component.

Instructions

Get GO annotations grouped by aspect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aspectNoOptional Gene Ontology aspect filter: 'F' (molecular function), 'P' (biological process), 'C' (cellular component), or empty for all three.
accessionYesUniProt accession, e.g. 'P04637' (human TP53) or 'P38398' (human BRCA1). Both reviewed (Swiss-Prot) and unreviewed (TrEMBL) accessions are accepted; case-sensitive.
response_formatNo'markdown' (default) for a human-readable report with a provenance footer, or 'json' for a machine-parseable structured payload with the same data. Any other value is rejected.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations declare readOnlyHint and openWorldHint, and the description ('Get GO annotations') aligns with read-only behavior. However, no additional behavioral traits (e.g., data freshness, rate limits) are disclosed beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is technically concise but borderline under-specified. It lacks structure and does not elaborate on the output or grouping, making it less effective for quick comprehension.

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 and an output schema, the description omits key context such as that the output is a grouped list of GO terms by aspect, and that it works for a single accession. This leaves the agent with an incomplete mental model of the tool's behavior.

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 covers 100% of parameters with detailed descriptions, so the description adds no extra meaning. Baseline of 3 is appropriate as it neither harms nor helps beyond the schema.

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?

Description states 'Get GO annotations grouped by aspect' – specific verb and resource with a distinctive grouping behavior that helps differentiate from other UniProt tools that also retrieve GO annotations.

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 provided on when to use this tool versus alternatives like uniprot_get_entry or uniprot_get_features; the agent receives no contextual clues for selection.

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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