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Update changelog label

update_changelog_label
Destructive

Rename, recolor, or re-describe a changelog label (tag).

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": {
      "label_id": "<label_id>"
    },
    "name": "update_changelog_label"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNoNew label name.
colorNoLabel color name, e.g. 'green', 'yellow', 'indigo', 'cyan', 'orange'.
label_idYesLabel ID from list_changelog_labels.
descriptionNoLabel description.

Output Schema

NameRequiredDescriptionDefault
successNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the mutation and risk profile are covered structurally. The description confirms which attributes get overwritten but omits how partial updates behave (whether omitted or null fields are left untouched), which is the key behavioral question for this call; the schema defaults of null hint at it only indirectly.

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 short sentence that front-loads the action verbs and ends with the resource, with no filler or redundancy. It is efficient, though it is terse enough that the agent must fall back on the schema for almost all details.

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?

An output schema exists and the input schema is fully documented, so the description need not explain return values. However, for a destructive partial-update operation it leaves unaddressed whether unspecified fields are preserved and what permanence the change has, which are the remaining gaps an agent would want covered.

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 each parameter is already documented, including color examples and the pointer to list_changelog_labels for label_id. The description adds only the synonym "tag" and the mapping of the three optional fields onto its three verbs, which is marginal beyond what the schema supplies.

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 three specific verbs (rename, recolor, re-describe) bound to a concrete resource (changelog label/tag), so an agent can tell it apart from create_changelog_label and delete_changelog_label by the mutation type alone. It stops short of explicitly naming those siblings as the alternatives.

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: the verbs make clear this is for modifying an existing label rather than creating or deleting one, which fits the surrounding label-management tools. There is no explicit statement of when to prefer this over create_changelog_label or set_changelog_labels, and no mention of prerequisites such as obtaining label_id first.

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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