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gbif-biodiversity-mcp-server

Get Species Children

gbif_get_species_children
Read-onlyIdempotent

List direct children of a backbone taxon — genera within a family, species within a genus, subspecies within a species. Paginated. Use gbif_match_species to get the taxonKey first, then iterate with offset for large groups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of children to return (default 20, max 1000).
offsetNoPagination offset.
taxonKeyYesGBIF backbone taxon key from gbif_match_species or another taxonomy tool.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
capNoLimit applied when the result was truncated. Re-call with offset to page on.
errorNoPresent when the call failed. Absent on success.
limitNoRecords returned in this page.
shownNoChildren returned in this page when the result was truncated.
noticeNoAgent guidance — a no-children note for a valid taxon, or a pagination note when the page was capped. Absent on a complete single page.
offsetNoCurrent pagination offset.
childrenNoDirect child taxa.
truncatedNoTrue when more children exist beyond this page. Absent on the final page.
endOfRecordsNoTrue when there are no more results after this page.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful behavioral context about pagination (offset iteration) and that results are direct children only, which is beyond the annotations. No contradiction with 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 two sentences with no redundancy. The purpose is front-loaded, and the usage guidance is concise. Every word earns its place.

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

Completeness5/5

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

With an output schema present, return format is already documented. The description provides the full workflow: get key, list children, paginate. For a simple read-only list tool, nothing an agent needs to call it correctly is missing.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning by linking taxonKey to gbif_match_species output and explaining offset for pagination, which goes beyond the schema descriptions. This clarifies how to use the parameters in a realistic workflow.

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 lists direct children of a backbone taxon, with concrete examples (genera within a family, species within a genus). It differentiates from siblings like gbif_get_species_classification by focusing on children rather than ancestors, and mentions the dependency on gbif_match_species for the taxonKey.

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

Usage Guidelines4/5

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

The description explicitly says to use gbif_match_species to get the taxonKey first and to iterate with offset for large groups, giving clear when-to-use and how-to-use guidance. It doesn't explicitly name alternatives to avoid, but the context of listing children is unambiguous given the sibling set.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct action and resource pair: matching (single and batch), retrieving species details, hierarchy traversal, searching occurrences, counting, aggregating by facets, and searching datasets/publishers. There is no functional overlap or ambiguity between tools.

Naming Consistency4/5

The naming is largely consistent with the gbif_ prefix followed by a verb and noun (e.g., gbif_match_species, gbif_count_occurrences, gbif_get_dataset). However, a few tools use a search_<noun> pattern (e.g., gbif_search_datasets) and one uses a noun phrase without a verb (gbif_occurrence_facets), introducing a minor inconsistency.

Tool Count5/5

13 tools is well within the optimal range for a domain-specific API. The tools cover taxonomy resolution, species lookup and hierarchy, occurrence search/count/aggregation, and dataset/publisher discovery—no unnecessary bloat or sparse coverage.

Completeness4/5

The surface covers the core GBIF workflows: match → search/get occurrences, get species details and classification, and find datasets/publishers. Missing bulk download is explicitly acknowledged and not served by this tool, and searching datasets by taxon is indirect (via occurrence datasetKey), but these are workable gaps rather than blockers.