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GBIF Species Search

gbif.biodiversity.species_search
Read-onlyIdempotent

Search 9M+ species in the GBIF backbone taxonomy using common or scientific names. Retrieve taxon key, scientific name, kingdom through genus, and taxonomic status. Filter results by rank (species, genus, family).

Instructions

Search 9M+ species in the GBIF backbone taxonomy by common or scientific name. Returns taxon key, scientific name, kingdom/phylum/class/order/family/genus, and taxonomic status. Filter by rank (SPECIES, GENUS, FAMILY). Source: Global Biodiversity Information Facility (CC0).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSpecies name to search — common name (e.g. "polar bear") or scientific name (e.g. "Ursus maritimus")
rankNoTaxonomic rank filter (default: SPECIES). Use SPECIES to avoid virus/subspecies matches.
limitNoNumber of results (1-20, default 5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds the return fields and source attribution but does not disclose additional behavioral traits like rate limits or authentication needs beyond what annotations implied.

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 three sentences, front-loaded with the main action and scope, and contains no unnecessary words. Every sentence adds value.

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?

Given the tool's moderate complexity (3 parameters, output schema exists), the description sufficiently covers what the tool does, what it returns, and filtering options. Output schema covers return structure, so no need to describe it further.

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 schema already documents all parameters. The description partially repeats the rank filter enum but does not add significant new meaning beyond the schema.

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 action (search), the resource (GBIF backbone taxonomy with 9M+ species), and the return fields. It distinguishes from sibling tools like occurrence search via the name and by specifying it's a species search.

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 when to use (searching by common or scientific name) and mentions rank filtering, but does not explicitly state when not to use or suggest alternatives among sibling tools.

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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