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list_preference_topics

Read-only

List the subscription topics inside one preference section. A topic is the individual thing a user opts in or out of, and its ID is what get_user_preference_topic takes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
section_idYesId of the preference section

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is known. The description adds context about what a topic is and its ID usage, but does not disclose additional behavioral details such as return format or pagination. It is consistent with annotations and adds some value but not substantial behavioral disclosure.

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 concise and front-loaded. The first sentence states the purpose, and the second adds useful context about topics and their relationship to another tool. There is no fluff or redundant information.

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 low complexity (one parameter, no output schema) and the presence of read-only annotations, the description provides sufficient context for an agent to call the tool correctly. It explains the domain concept of a topic and how the result relates to get_user_preference_topic, though it does not explicitly describe the return shape. It is adequate for a list tool.

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?

The sole parameter section_id has a schema description ('Id of the preference section') that is clear. The description reinforces this by mentioning 'inside one preference section', but does not add meaning beyond the schema. With 100% schema coverage, baseline of 3 is appropriate.

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 clearly states the action ('List') and the resource ('subscription topics inside one preference section'), and it differentiates from the related get_user_preference_topic by explaining that the topic ID is used there. This effectively distinguishes it from sibling tools like list_preference_sections.

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 description implies usage by describing what the tool does, but it does not explicitly state when to use it versus alternatives or when not to use it. It provides a hint about the workflow with get_user_preference_topic but lacks explicit exclusions or alternative naming.

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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