Pīpīwai Trail status

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

With no annotations, the description carries the disclosure burden. It clearly communicates that the data is stable planning facts rather than live status, which is the key behavioral trait an agent needs. It doesn't discuss output format or errors, but for a facts-only tool with no parameters this is a minor gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly scoped sentences with zero filler. The first front-loads what the tool provides and the second draws the boundary and names the alternative. Every sentence earns its place.

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

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

For a zero-parameter, no-output-schema tool with one sibling, the description is complete. It itemizes the facts provided, clarifies the stability dimension, and names the correct tool for live closure status. Nothing else is needed for correct selection or invocation.

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

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

The tool has no parameters, so the description isn't required to explain parameter meaning. The 0-parameter baseline is 4, and the description's content list still adds useful context about what the tool returns, which counts in its favor.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (Pīpīwai Trail planning facts) and an explicit list of covered content: distance, climb, entrance fee, reservations, gate time, group size, pets, and swimming. It also distinguishes itself from get_pipiwai_status by stating this is not live closure status.

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

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

The description explicitly says when not to use it ('Not live closure status') and routes the agent to the correct sibling ('Call get_pipiwai_status for open/closed'). This makes the selection decision unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With no annotations, the description carries the full burden of disclosing behavior. It states the tool is live, returns status from NPS hiking tables and alerts, covers road conditions, and includes check dates and source URLs. It does not mention update frequency or data availability caveats, but it provides solid context for a read-only status tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences: the first establishes scope, the second enumerates return components and user intents. No filler, front-loaded clarity.

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

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

For a no-parameter status tool with no output schema, the description covers the core value proposition, data sources, and trigger cases. It could add an explicit response shape or exclusions (e.g., weather or trail conditions beyond NPS reporting), but overall it gives an agent enough to select and call the tool confidently.

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

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

There are zero parameters, so the schema is trivially complete at 100% coverage. The description correctly focuses on what the tool returns rather than attempting to explain nonexistent parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific resource (Pīpīwai Trail in Haleakalā National Park) and a specific operation (retrieving live open/closed status). It goes beyond the name by separating park status and road status, which also helps distinguish it from the sibling facts tool.

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

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

The description gives explicit trigger conditions: 'if the trail is open, closed, hikeable, or if the road past Hana is passable.' However, it does not explicitly state when not to use this tool or point to get_pipiwai_facts for factual questions, so the differentiation is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.