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rcsb_seqcoord_group_annotations

Read-onlyIdempotent

Retrieve annotations for every member of a sequence group, defined by UniProt accession or sequence identity, from chosen sources, with an optional summary across the group.

Instructions

Fetch annotations across the members of a sequence group.

Args: group: How the group is defined. group_id: The group id, e.g. "P69905" for MATCHING_UNIPROT_ACCESSION. sources: Annotation provenance — which source(s) to pull features from. summary: If true, return a positional summary aggregated across the group (group_annotations_summary) instead of per-member annotations. filters: Optional filter dicts (see rcsb_seqcoord_annotations). fields: Optional GraphQL selection to override the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYes
fieldsNo
filtersNo
sourcesYes
summaryNo
group_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the behavioral detail that setting `summary=true` returns a positional summary instead of per-member annotations, plus references to `rcsb_seqcoord_annotations` for filters. However, it does not elaborate on response format, pagination, or potential limitations, so the added transparency is modest.

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 opens with a single, clear sentence and then uses a structured Args list. Each parameter line is brief yet informative, with no unnecessary words. The structure is conventional and easy to parse, though it could be slightly more compact by merging some lines.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (6 parameters, enums, output schema, rich annotations), the description covers the essential inputs and the key behavioral switch (`summary`). It references external sources for advanced options (`filters`, `fields`). It does not address how this tool relates to sibling tools, but the output schema and annotations fill many gaps, making the description sufficiently complete for an agent.

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

Parameters5/5

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

With schema description coverage at 0%, the description compensates thoroughly by explaining every parameter: `group` ('How the group is defined'), `group_id` with a concrete example ('P69905' for MATCHING_UNIPROT_ACCESSION), `sources` ('Annotation provenance'), `summary` with behavior and the underlying type, `filters` with a cross-reference, and `fields` as an optional GraphQL override. This provides meaning well beyond the bare 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?

The description states a specific action ('Fetch annotations') and resource ('members of a sequence group'), clearly conveying the tool's core function. However, it does not explicitly differentiate from the closely related sibling tool `rcsb_seqcoord_annotations`, which likely handles individual sequence annotations, so the distinction relies on the tool name and implied 'group' context.

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 is given for when to use this tool versus alternatives. The description focuses entirely on parameter explanations and omits any mention of use cases, exclusions, or comparisons to sibling tools like `rcsb_seqcoord_annotations`, leaving the agent to infer appropriate usage from the name alone.

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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