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list_hawaii_topics

List every topic Ask Hawaiʻi covers, grouped by category, with ids.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden; it does disclose the shape of what comes back (categorized topics with ids), which implies a safe read-only enumeration. It does not state whether the list is static or paginated, or whether any auth/quota applies, leaving genuine gaps for an unannotated tool.

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?

A single front-loaded sentence with no filler; the scope, grouping, and included identifiers all appear before any trailing clauses. Nothing could be removed without losing signal.

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?

For a zero-parameter listing tool with no annotations and no output schema, the description supplies the essential return shape and scope. Only minor context is missing, such as list size or whether results are stable, which keeps it from a 5.

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?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. It adds no misleading parameter language either.

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?

States a specific verb and resource ('List every topic Ask Hawaiʻi covers') and adds the return structure ('grouped by category, with ids'). It is unambiguously the only enumeration tool among siblings that all fetch or search specific content, so an agent cannot confuse it with get_hawaii_entry or search_hawaii.

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 phrase 'with ids' hints that this is a discovery step whose output feeds other calls, but the description never says when to reach for it over search_hawaii or names any prerequisite. Usage is inferable rather than stated.

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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