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Curated

Edit a list

update_list
DestructiveIdempotent

Edit a list's title, subtitle, category, or the curator's own About answers. Saves the working version without publishing. Readers keep seeing the last approved version until the owner approves a list update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listYesWhich list: slug, exact title, or id. Must match exactly one list or the call fails.
aboutNoThe curator's own words about this list. Ask for their answer; do not write personal experience for them.
titleNoNew title.
categoryNoThe category the person chose: Food & Drink, Travel, Books, Music, Movies & TV, Gear & Tools, Software, Fashion, Home & Garden, Ideas & Essays, Art, or Spirituality. Their choice stays; an empty string clears it.
subtitleNoNew subtitle. Pass an empty string to clear.

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 destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond that: edits are saved as a working version, not published, and readers continue seeing the last approved version until owner approval. That versioning/visibility nuance is not derivable from the 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-loaded with the editable fields and followed by the most consequential behavioral fact (edits stay in draft). 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?

For a mutation tool with no output schema, the description covers what can be changed and the draft-vs-approved visibility model, while annotations carry the idempotency/destructive profile. It stops short of describing failure modes or return behavior, but nothing critical to correct invocation is missing.

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 description coverage is 100%, so the schema already documents all five parameters, including the nested About object and the empty-string clearing semantics. The description lists which fields are editable but adds no syntax or format detail beyond what the schema provides, so baseline 3 applies.

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 (edit) and resource (list) and enumerates the exact editable fields: title, subtitle, category, and About answers. It also implicitly separates itself from publish_list by describing what it does NOT do (publish), so an agent can distinguish it from siblings without opening the schema.

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?

The draft/publish framing ("Saves the working version without publishing... until the owner approves a list update") gives clear context for when this tool is the right one versus publishing. However, it never names publish_list as the alternative or states an explicit precondition, leaving the routing to inference.

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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