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inaturalist-mcp-server

Inaturalist Get Similar Species

inaturalist_get_similar_species
Read-only

List the taxa this one is most often misidentified as, ranked by how many times identifiers made the correction — the field-identification check before committing to a look-alike. Scope it to an area in exactly one form (place_id, the lat/lng/radius triple in kilometres, or a four-corner bounding box) to see the confusion set a specific region actually produces, or leave the area off for the global set. Resolve the organism name to a taxon id with inaturalist_resolve_name first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
d1NoEarliest observation date, YYYY-MM-DD. Inclusive.
d2NoLatest observation date, YYYY-MM-DD. Inclusive.
latNoLatitude of the search centre, in decimal degrees. Requires lng and radius.
lngNoLongitude of the search centre, in decimal degrees. Requires lat and radius.
limitNoMaximum look-alikes to return. Applied in-process — the upstream endpoint publishes no page size and returns its whole confusion set.
nelatNoNorth-east corner latitude of the bounding box. All four corners or none.
nelngNoNorth-east corner longitude of the bounding box. All four corners or none.
swlatNoSouth-west corner latitude of the bounding box. All four corners or none.
swlngNoSouth-west corner longitude of the bounding box. All four corners or none.
radiusNoSearch radius around lat/lng, in KILOMETRES. Requires lat and lng. The upstream publishes no bound; 500 is a verified ceiling this server imposes.
captiveNoWhether to include captive and cultivated records — zoo animals, garden plantings. Defaults to wild organisms only.
place_idNoNumeric iNaturalist place id from inaturalist_find_places. Mutually exclusive with the lat/lng/radius triple and the bounding box. A non-numeric value answers HTTP 500 upstream.
taxon_idYesNumeric taxon id to find look-alikes for. Resolve a name to an id with inaturalist_resolve_name.
quality_gradeNoIdentification confidence tiers to include. Defaults to research-grade only; adding "needs_id" roughly doubles the corpus and lowers identification confidence.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
capNoThe limit that was applied.
errorNoPresent when the call failed. Absent on success.
shownNoHow many look-alikes this response carries.
noticeNoGuidance when no look-alikes are recorded, or when the limit cut the set.
taxon_idNoThe taxon the look-alikes were found for.
truncatedNoTrue when the limit cut the confusion set.
totalCountNoHow many look-alikes upstream returned, before the limit was applied.
similar_speciesNoLook-alikes ranked by misidentification_count, most-confused first.
truncationCeilingNoMisidentification count of the last look-alike shown. The ranking is descending, so no omitted look-alike exceeds it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered; the description adds behavioral context beyond annotations by explaining the ranking basis (identifier corrections) and the area-scoped vs global behavior. No contradictions 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?

Three sentences front-load the core purpose first, then area scoping, then the prerequisite. There is no filler; each sentence contributes actionable guidance.

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?

For a 14-parameter tool with a fully described schema and an output schema, the description covers the high-level purpose, area-scoping rules, and prerequisite call. The schema supplies remaining parameter detail, and the output schema removes the need to document return values.

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 description coverage is 100%, so the schema carries detailed per-parameter meaning; the description adds value by consolidating the three mutually exclusive area forms into one rule and stating the global-set fallback. It mostly re-frames schema content, hence not a 5, but the conceptual grouping is genuinely helpful.

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 clearly states the tool lists taxa most often misidentified as a given taxon, ranked by identifier corrections — a specific verb and resource that distinguish it from siblings like inaturalist_get_species_counts or inaturalist_get_histogram. It does not explicitly name an alternative tool for contrast, so it stops short of a 5.

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?

It gives concrete when-to-use guidance: scope by exactly one area form (place_id, lat/lng/radius, or bounding box) or leave off for the global set, and the explicit prerequisite to resolve names via inaturalist_resolve_name first. It does not discuss when not to use this tool versus another, but the context is clear.

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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