Skip to main content
Glama
translated

Lara Translate MCP Server

by translated

check_glossary_import_status

Read-only

Poll the status of a glossary CSV import job using the import ID until the import is complete.

Instructions

Checks the status of a glossary CSV import job started by import_glossary_csv. Poll this tool with the import_id returned from import_glossary_csv until the import is complete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the glossary import job

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesImport job identifier
beginNoBegin offset of the import
endNoEnd offset of the import
channelNoChannel identifier used by the import
sizeNoTotal number of entries in the import
progressNoImport progress between 0 and 1 (1 means complete)
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, indicating a safe read operation. The description adds the polling pattern and job completion context, but no extra behavioral traits beyond what annotations imply. No contradictions.

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?

Two concise sentences, front-loaded with the purpose and immediately followed by usage guidance. No wasted words.

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

Completeness5/5

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

Given the simple nature (one parameter, polling pattern), the description fully explains what the tool does, how to use it, and where to get the input. The presence of an output schema is implied but not needed for completeness.

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% and the parameter 'id' is described in schema as 'The ID of the glossary import job'. The description does not add additional parameter semantics beyond mentioning it comes from import_glossary_csv. Baseline 3.

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 'Checks the status of a glossary CSV import job started by import_glossary_csv', providing a specific verb and resource. It distinguishes from sibling tools like check_import_status (generic) and import_glossary_csv (starter).

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

Usage Guidelines5/5

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

Explicit guidance: 'Poll this tool with the import_id returned from import_glossary_csv until the import is complete.' This tells when to use it (after starting an import) and how (polling), and where to get the parameter.

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