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Create tag

create_tag

Create a new tag for organizing tasks.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "create_tag"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesTag name
colorNoHex color like #6366f1 (default #6366f1)

Output Schema

NameRequiredDescriptionDefault
idYes
nameYes
colorYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "color": {
      +      "type": "string"
      +    },
      +    "id": {
      +      "type": "string"
      +    },
      +    "name": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "id",
      +    "name",
      +    "color"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false and idempotentHint=false, so the agent knows this is a mutating, non-idempotent write. The description adds nothing beyond that — it does not say whether duplicate tag names are rejected, whether the call fails or creates a second tag, or what the naming constraints are.

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?

A single front-loaded sentence with no filler. It is efficient, though its brevity leaves the definition thin rather than optimally sized.

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

Completeness3/5

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

With a full output schema and complete parameter descriptions, the structured fields carry most of the load for this simple two-parameter tool. The one meaningful gap is the duplicate-name/uniqueness behavior of a non-idempotent create, which nothing in the definition addresses.

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%: name and color are fully documented including the hex pattern and default. The description adds no parameter meaning of its own, so the baseline 3 applies.

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 uses a specific verb ("Create") and resource ("tag") plus a scope clause ("for organizing tasks"). It does not name a sibling, but the create/update/delete/list family among the siblings makes the intent unambiguous.

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 guidance on when to create a tag versus reuse an existing one via list_tags, and no mention of prerequisites or whether duplicate names are permitted. The agent must infer usage entirely.

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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