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transkribus-mcp-server

by lazyants

Get Processing Status

transkribus_processing_get_status
Read-onlyIdempotent

Retrieve the status of a Transkribus Processing API job by process ID and fetch recognized text after completion. Check CREATED, WAITING, RUNNING, FINISHED, or FAILED states; results last two days.

Instructions

Get the status of a Processing API job, including the recognised text once it has finished. Status is one of CREATED, WAITING, RUNNING, FINISHED or FAILED; results are kept for two days.

Input Schema

NameRequiredDescriptionDefault
processIdYesProcess ID returned when the image was submitted

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv4.0.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds genuine behavioral context beyond them: the exact status lifecycle (CREATED/WAITING/RUNNING/FINISHED/FAILED) and the two-day result retention window, which affects polling strategy.

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 tight sentences, zero filler, with the core purpose front-loaded and the enum/retention details following. Nothing to trim.

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?

No output schema exists, so the description must carry return-value information, and it does cover the two things an agent needs: the status enum and the recognised-text payload plus its retention. It stops short of describing the full response shape (e.g. where the text sits), leaving a minor gap.

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% — processId is documented as 'Process ID returned when the image was submitted', including its numeric bound. The description adds nothing parameter-level, so the baseline 3 applies.

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?

States a specific verb+resource ('Get the status of a Processing API job') and scopes it further by naming the enumerated status values and the recognised-text payload, which distinguishes it from siblings like transkribus_upload_get_status and transkribus_job_get.

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 implied rather than stated: the tool is a poll endpoint, and the two-day retention note hints at a time window, but the description never says to call it after submitting an image or names an alternative for a different job kind. Adequate but with clear gaps.

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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