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Get label

getLabel
Read-only

One label in detail: its name, id, colour, how many conversations carry it, and when it was created and last changed.

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": {
      "id": "<id>"
    },
    "name": "getLabel"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesThe label id, or its name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so safety is covered. The description goes further by enumerating the returned fields (name, id, colour, conversation count, created/changed timestamps), which matters because no output schema exists — that is genuine added context rather than a restatement of annotations.

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?

One compact sentence with the resource front-loaded and zero filler. It is a sentence fragment, and the verb is omitted, but nothing in it is wasted.

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 trivial one-parameter read, the description plus annotations plus a fully documented schema cover what an agent needs, and the field list compensates for the absent output schema. Only the id-vs-name identifier nuance and error behavior are left implicit.

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 single parameter has 100% schema coverage and the schema itself documents that the id may be 'the label id, or its name'. The description adds nothing about the accepted identifier forms or any not-found behavior, so it sits at the baseline for a fully documented schema.

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?

States a specific resource and scope: 'One label in detail', which implicitly contrasts with the plural listing sibling getUserLabels and the mutation siblings createLabel/updateLabel/deleteLabel. The verb is implied rather than written ('Get' only appears in the name), but the intent is unambiguous.

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?

Usage is only implied by the phrase 'One label in detail' — an agent can infer this is the single-record fetch and getUserLabels is the list. There is no explicit guidance on when to prefer this over the list call, nor any stated prerequisite such as needing a known label id or 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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