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kaysiz

DataCite Librarian MCP

by kaysiz

regenerate_mock_data

Regenerates the bundled demo mock corpus, restoring sample data for testing and QA workflows.

Instructions

Regenerate bundled/demo mock corpus.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Regenerate' implies data mutation, but the description does not state whether it is destructive, whether it resets existing data, if it requires special permissions, or what side effects might occur. This is a significant gap for a mutation tool.

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

Conciseness3/5

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

The description is extremely concise, with no wasted words, but it is arguably under-specified for a tool that likely performs a mutating operation. It is front-loaded and efficient, but the brevity borders on terseness, earning a mid-range score.

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?

Given that this is a write/regeneration tool with no annotations, the description is incomplete. It does not explain the impact on existing data, whether the operation is reversible, or what the output represents. The existence of an output schema helps, but the lack of behavioral context leaves the agent under-informed.

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?

The tool has zero parameters, and the schema is an empty object with 100% coverage. Per the rubric, 0 params yields a baseline of 4. The description adds no parameter information, but none is needed.

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 uses a specific verb 'Regenerate' and identifies the exact resource: 'bundled/demo mock corpus.' It clearly distinguishes this tool from the sibling tools, which are all read/export/query operations. This is a clear action on a well-defined resource.

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?

The description offers no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites, exclusions, or typical scenarios. It is a single imperative sentence with no contextual framing.

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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