Skip to main content
Glama
translated

Lara Translate MCP Server

by translated

get_glossary

Read-only

Retrieve a specific glossary from your Lara Translate account using its ID. Returns null if the glossary is not found.

Instructions

Retrieves a specific glossary by ID from your Lara Translate account. Returns null if the glossary is not found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe glossary ID (format: gls_*, e.g., 'gls_xyz123')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
glossaryYesThe requested glossary, or null when no glossary has that id
Behavior3/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, indicating a safe read. The description adds that it returns null if not found, which is useful. However, it lacks details on rate limits, permissions, or the structure of the returned object, which could be inferred from the output schema.

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

Conciseness5/5

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

The description is a single sentence front-loaded with the essential action, followed by a brief note on null return. No wasted words, and every sentence adds value.

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?

Given the tool's simplicity (one parameter, output schema exists), the description covers the key behavior (retrieve by ID, null if missing). It is adequate but could mention that it returns the full glossary object, though the output schema handles that. Sibling tools are diverse, but the description is sufficient for selection.

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 input schema has 100% description coverage for the 'id' parameter, including format example and pattern. The description does not add any additional meaning beyond what the schema already provides, so baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states 'Retrieves a specific glossary by ID', specifying the verb, resource, and scope. It also notes the null return for non-existence. This distinguishes it from siblings like list_glossaries (which lists all) and other CRUD tools.

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?

The description does not provide explicit guidance on when to use this tool versus alternatives like list_glossaries or get_glossary_counts. It implies usage when you have a specific glossary ID, but no exclusion or context for decision-making.

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/translated/lara-mcp'

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