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rcsb_seqcoord_group_alignments

Read-onlyIdempotent

Retrieve sequence alignments for members of a sequence group defined by UniProt accession or sequence identity, with optional filtering.

Instructions

Fetch alignments among the members of a sequence group.

Args: group: How the group is defined. group_id: The group id, e.g. "P69905" (a UniProt accession) for MATCHING_UNIPROT_ACCESSION. filter_terms: Optional list of target ids to restrict the group members. fields: Optional GraphQL selection to override the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYes
fieldsNo
group_idYes
filter_termsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, and the description's 'Fetch' aligns with these. However, the description adds no additional behavioral context such as pagination, rate limits, result scope limits, or side effects. It does not contradict the annotations, but it also does not enrich them.

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

Conciseness4/5

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

The description is concise: one opening sentence plus a structured Args list. Every line provides necessary information without unnecessary prose. The structure is clean and easy to scan, though the Args section is formatted as a simple list rather than using rich formatting.

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?

The description, together with the output schema, covers the invocation and likely return values. However, it does not elaborate on the two enum values for 'group' (MATCHING_UNIPROT_ACCESSION and SEQUENCE_IDENTITY) or how the 'group_id' format differs between them. This leaves a meaningful gap for an agent choosing the right group_id format. Overall, it is minimally viable but not comprehensive.

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

Parameters4/5

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

The schema has 0% description coverage, and the description's Args section compensates by explaining each parameter: 'group' defines the grouping method, 'group_id' includes an example ('P69905') for MATCHING_UNIPROT_ACCESSION, 'filter_terms' restricts members, and 'fields' overrides the GraphQL selection. This significantly adds meaning beyond the bare schema, though the 'fields' explanation is terse.

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?

The description clearly states the tool's function: 'Fetch alignments among the members of a sequence group.' It identifies a specific verb and resource, and the phrase 'sequence group' differentiates it from the sibling tool rcsb_seqcoord_alignments, which handles alignments without the group component.

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

Usage Guidelines3/5

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

The description implies usage context by explaining that it fetches alignments for groups, but it does not explicitly state when to use this tool versus alternatives like rcsb_seqcoord_alignments or rcsb_seqcoord_group_annotations. No exclusions or alternative guidance is provided, leaving the choice to the agent's inference.

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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