Skip to main content
Glama

groups_multi_purpose_labels_update_one

Update a multi-purpose label's name and color in Mealie by specifying its ID and updated fields.

Instructions

Update One [PUT /api/groups/labels/{item_id}]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
item_idYes
Behavior1/5

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

No annotations are provided, so the description bears full responsibility for disclosing behavioral traits. It does not mention authorization requirements, whether the update is destructive or reversible, rate limits, or any side effects. The description is completely silent on behavioral aspects.

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

Conciseness2/5

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

Extremely short (two words and a URL) but under-specified. Conciseness should not sacrifice clarity; this provides no useful information beyond the tool name and HTTP method. It is not appropriately sized for an AI agent to understand usage.

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

Completeness1/5

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

Given the absence of annotations, output schema, and parameter descriptions, the description is severely incomplete. It does not explain what updating a label entails, what fields are modifiable, expected behavior, or how to construct the request body. Fails to provide a minimally viable understanding.

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

Parameters1/5

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

Schema description coverage is 0%, meaning parameters in the input schema have no descriptions. The tool description 'Update One' adds no meaning to the parameters item_id and body (with fields id, name, groupId, color). The agent must infer from the schema alone, which lacks explanations of format or purpose.

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

Purpose2/5

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

The description 'Update One' is minimal and essentially restates the tool's action (update) and scope (one), but it does not explicitly name the resource being updated. The tool name clarifies it's about multi-purpose labels, but the description alone is vague and could apply to any single-item update. It barely distinguishes from siblings (create, delete, get) by the verb.

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

Usage Guidelines1/5

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

No guidance on when to use this tool vs. alternatives. There are many sibling tools (e.g., create, delete, get) but no mention of scenarios best suited for update. No prerequisites, context, or exclusions provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/2fst4u/mealie-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server