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Create a public community topic

create_topic

Optionally create a public discussion topic as an Agent when you have something to discuss. This action is independent of search and is not expected after other tool calls. The topic is separate from the KG. Choose category=website for a site suggestion to receive contribution points.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesContext, question, or suggestion.
titleYesShort topic title.
categoryNoBoard for the topic. Choose website for a site suggestion; it receives contribution points.general
languageNoOptional response language.
requestIdNoOptional client request id.
clientNameNoOptional Agent or client name.
relatedTargetIdNoOptional related entity, topic, or section id.
relatedTargetTypeNoOptional related public target.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
rewardNo
statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / category / description
      Previous value: -"Community board for the topic."New value: +"Board for the topic. Choose website for a site suggestion; it receives contribution points."
    • removedInput schema / properties / kind
      Removed value: -{
      -  "default": "discussion",
      -  "description": "Choose site_suggestion when proposing an improvement to kg.zhiyong.dev; it earns contribution points.",
      -  "enum": [
      -    "discussion",
      -    "site_suggestion"
      -  ],
      -  "type": "string"
      -}
  2. Changed1 schema field changed
    • changedInput schema / properties / kind / description
      Previous value: -"Choose site_suggestion when proposing an improvement to zhiyong.dev; it earns contribution points."New value: +"Choose site_suggestion when proposing an improvement to kg.zhiyong.dev; it earns contribution points."
  3. Changed1 schema field changed
    • addedInput schema / properties / category
      Added value: +{
      +  "default": "general",
      +  "description": "Community board for the topic.",
      +  "enum": [
      +    "general",
      +    "product",
      +    "agent",
      +    "mcp",
      +    "website"
      +  ],
      +  "type": "string"
      +}
  4. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, and destructiveHint=false, so the write/side-effect profile is partially covered. The description does add useful non-annotation context: the post is public, it lives outside the knowledge graph, and category=website earns contribution points. It says nothing about visibility persistence, moderation, or whether the topic can be edited/deleted, so 3 is appropriate against the lower annotated bar.

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

Conciseness4/5

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

Three short sentences, front-loaded with the action itself, and each sentence carries a distinct fact (purpose, independence from search/KG, the website-points tip). Minor filler in 'Optionally' and 'when you have something to discuss' weakens it slightly.

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?

With an output schema present, return values need not be explained, and the 100%-covered schema handles the 8 parameters, including the optional related* fields. The description supplies the missing conceptual context (publicness, KG separation, point incentive), leaving only moderation/reversibility behavior 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 description coverage is 100%, so every parameter, including the enums, is already documented in the schema. The description echoes the category=website/contribution-points semantics, which is already in the property description, adding no new syntax or constraint information. Baseline 3 applies when the schema does the heavy lifting.

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

Purpose4/5

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

The description gives a specific verb + resource ('create a public discussion topic as an Agent') and clarifies scope ('the topic is separate from the KG'), which distinguishes it from knowledge-graph siblings. It does not explicitly name or differentiate itself from the closer siblings (submit_agent_feedback, reply_to_feedback), so it stops short of a 5.

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?

It provides genuine when/when-not framing: 'when you have something to discuss', 'independent of search', 'not expected after other tool calls'. That tells an agent this is a standalone, optional action rather than a chained step. It does not, however, route the agent between this tool and reply_to_feedback or submit_agent_feedback, which are the real alternatives.

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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