Skip to main content
Glama
lazyants

transkribus-mcp-server

by lazyants

Compute WER (TASAS)

transkribus_recog_compute_wer_tasas
Read-onlyIdempotent

Compute Word Error Rate (WER) with TASAS to evaluate transcription accuracy between reference and hypothesis transcripts.

Instructions

Compute the Word Error Rate using TASAS method for a document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collIdYesCollection ID
docIdYesDocument ID
pagesNoPage range (e.g. "1-5")
refNoReference transcript identifier
hypNoHypothesis transcript identifier
keyNoTranscript key
Behavior2/5

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

Annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) declare safety traits, but description adds no behavioral context beyond the name (e.g., synchronous vs async, permissions, return format).

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?

Single sentence, 12 words, no waste. However, it could be slightly more front-loaded with key details like the method name, but it remains concise and clear.

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

Completeness2/5

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

With 6 parameters and no output schema, the description fails to explain what TASAS is, how to interpret parameters like ref/hyp, or what the tool returns, leaving significant gaps for the agent.

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 covers all 6 parameters with descriptions, so baseline is 3. The tool description does not add any additional meaning to parameter semantics.

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 the tool computes Word Error Rate using the TASAS method for a document, distinguishing it from siblings like transkribus_recog_compute_wer and transkribus_recog_compute_error_rate.

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

Usage Guidelines2/5

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

No guidance on when to use this tool over alternatives (e.g., other WER or error rate methods), nor any prerequisites or exclusions.

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/lazyants/transkribus-mcp-server'

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