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transkribus-mcp-server

by lazyants

Rebuild Models Index

transkribus_admin_rebuild_models_index

Rebuild the search index for all recognition models to resolve search inconsistencies and ensure accurate retrieval.

Instructions

Rebuild the search index for all recognition models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations provide limited info (destructiveHint=false), but 'rebuild' implies potential overwriting; description adds no behavioral traits like side effects, duration, or admin requirements.

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?

Single sentence that is front-loaded and concise, with zero wasted words.

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

Completeness3/5

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

Minimal but adequate for a simple admin action. Lacks details on prerequisites, whether it triggers a background job, or impact on existing indices.

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

Parameters4/5

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

No parameters exist, and description correctly implies no input needed. Baseline 4 for zero-param tools, and no additional info required.

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 explicitly states the verb (rebuild), resource (search index), and scope (for all recognition models), providing clear purpose. It distinguishes from sibling tools like transkribus_search_reset_index by specifying models.

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, prerequisites, or alternatives. The description lacks context like 'use after model updates' or comparisons to similar tools.

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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