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Build a custom packing list

build_checklist
Read-onlyIdempotent

Build a customised packing list from a Wilderness Times checklist: start from an activity, optionally keep only certain categories, drop items that do not apply, and add your own. Returns the tailored list plus buying-guide links for whatever survived. Use this when the user wants a list shaped to their specific trip rather than the full standard one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addNoOptional. Extra items to append under a 'Your additions' category.
excludeNoOptional. Item names to leave out (matched loosely — 'hammock' drops 'Hammock').
activityYesBase activity. One of: camping, backpacking, hiking, winter-camping, cabin-camping, couples-camping, kayak-camping, motorcycle-camping, toddler-camping, fishing, snowboarding.
categoriesNoOptional. Keep only these categories.

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, idempotentHint and non-destructive behavior, so the safety profile is covered. The description adds genuinely useful context beyond them: the output composition (tailored list plus buying-guide links) and the fact that input items are filtered/excluded rather than mutated. It does not mention behavior for unknown activities or empty result sets, keeping it short of a 5.

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?

Two sentences, zero waste. The core behavior is front-loaded and the usage router is placed last where it belongs.

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?

There is no output schema, and the description compensates by stating what is returned (tailored list plus buying-guide links). Combined with 100% schema coverage and annotations, an agent has everything needed to call it correctly; only edge-case behavior is unaddressed.

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 coverage is 100%, so the schema already documents all four parameters, including the activity enum and the loose-match exclusion rule. The description restates the parameter effects in workflow order but adds no syntax or format detail beyond what the schema provides, which is the expected baseline of 3.

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?

Names a specific verb+resource ('build a customised packing list') and enumerates the transformations it performs (start from activity, filter categories, exclude, add). The final sentence explicitly routes the agent away from the full standard checklist, distinguishing it from get_checklist.

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?

States the trigger condition clearly: 'Use this when the user wants a list shaped to their specific trip rather than the full standard one.' The alternative (the standard checklist, presumably get_checklist) is implied rather than named, and no explicit when-not condition is given, but the routing intent is unambiguous.

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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