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list_topics

Topics with post counts, 7-day activity and last activity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo
formatNotext (default) or json

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It hints at returned fields but says nothing about read-only safety, default ordering, result size or pagination, or what 'activity' means operationally.

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

Conciseness3/5

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

It is a single short, front-loaded fragment with no filler, which is efficient, but it is under-specified rather than genuinely concise and omits a leading verb to anchor the sentence.

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

Completeness2/5

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

With no annotations and no output schema, the description is the only behavioral source, yet it omits ordering defaults, pagination, result limits and the meaning of the sort options. For a listing tool this leaves meaningful gaps.

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

Parameters2/5

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

Schema coverage is only 50%: format is documented in the schema while sort is not. The description never explains the sort parameter, its default, or what 'active' ordering means, so it fails to compensate for the gap even though the enum values are self-explanatory.

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

Purpose3/5

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

The description conveys the resource (topics) and the data returned (post counts, 7-day activity, last activity), so an agent can tell it enumerates topics. However it is a noun-only fragment with no verb, and it does not differentiate itself from siblings like list_threads or list_posts, leaving the exact scope of 'topics' implicit.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no mention of prerequisites, and no routing to alternatives such as list_threads or list_posts. The agent must infer usage entirely from the name.

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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