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national-parks-mcp-server: get activities

nps_get_activities
Read-only

Curated things to do and points of interest at a park — title, description, time commitment, location, accessibility, and fee/pet/reservation flags — answering "what should I do at Acadia?" Covers the NPS editorially-curated activity list (distinct from a park's raw activity tags in nps_get_park). Accepts a single 4-letter park code or a single two-letter state code, and at least one is required. Not every park has a curated list; an empty result is not an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum activities to return (1–50).
queryNoFree-text search across activity titles/descriptions (e.g. "sunrise", "hike", "tour").
startNoZero-based pagination offset.
parkCodeNoA single 4-letter lowercase park code (e.g. "acad"). Get it from nps_find_parks. Accepts one park code, not a list. Provide parkCode or stateCode.
stateCodeNoA single two-letter state code (e.g. "ME"). Returns curated activities across NPS sites in that state.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
capNoLimit applied (populated when results were truncated).
errorNoPresent when the call failed. Absent on success.
shownNoActivities returned in this response (populated when capped by limit).
noticeNoGuidance when no curated activities matched.
activitiesNoCurated activities and points of interest for the requested park/state.
totalCountNoTotal activities matching the filter before the limit was applied.
appliedFiltersNoEcho of parkCode/stateCode/query as applied.

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds value by explicitly stating the open-world behavior ('Not every park has a curated list; an empty result is not an error') and clarifying the curated vs. raw distinction. It does not contradict annotations and provides useful context beyond the structured fields.

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 dense but every sentence earns its place. It front-loads the core purpose and content, then clarifies the distinction, input constraints, and edge-case behavior. No redundancy or filler.

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 has 5 params and an output schema, the description covers the key aspects: purpose, input requirements, empty-result behavior, and differentiation from a sibling. It does not clarify what happens if both parkCode and stateCode are provided (though schema implies 'or'), nor does it describe the output format in detail, but the output schema covers that. Overall, it's quite complete for an agent to use correctly.

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 baseline is 3. The description adds extra meaning: it emphasizes that parkCode is a single code (not a list), specifies that at least one of parkCode/stateCode is required, and cross-references nps_find_parks for obtaining park codes. These details go beyond the schema's descriptions, justifying a 4.

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 states a specific verb+resource (returns curated activities) with a concrete use case ('what should I do at Acadia?') and lists the content fields. It explicitly differentiates from the sibling nps_get_park by noting the curated list vs. raw activity tags, making it easy for an agent to select the right tool.

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

Usage Guidelines5/5

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

It names the alternative (nps_get_park) and the condition that selects it (raw tags vs. curated list), and explicitly states the input requirement ('at least one is required' for parkCode/stateCode). It also sets expectations for empty results ('an empty result is not an error'), giving clear when-to-use and when-not-to-use guidance.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct domain resource: parks, park details, alerts, events, activities, and campgrounds. There is no overlap in purpose; an agent can unambiguously select the right tool for a query.

Naming Consistency5/5

All tools follow a consistent `nps_` prefix with a verb-noun pattern (`find_*` or `get_*`). The only minor variation is singular/plural nouns, but this is predictable and does not hinder understanding.

Tool Count5/5

Six tools is well-scoped for a national parks API, each covering a core aspect of trip planning (lookup, detail, alerts, events, activities, campgrounds). No tool feels redundant or unnecessary.

Completeness4/5

The surface covers primary trip-planning needs: finding parks, getting detailed info, checking alerts, seeing events, exploring activities, and finding campgrounds. Minor gaps like webcams or permits are non-essential, but the set is nearly complete.