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Fibery-inc

Fibery MCP Server

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by Fibery-inc

create_entities_batch

Create multiple Fibery entities simultaneously with specified fields to batch process data entry and management tasks.

Instructions

Create multiple Fibery entities at once with specified fields. Examples (note, that these databases are non-existent, use databases only from user's schema!): Query: Create some features Tool use: { "database": "Product Management/Feature", "entities": [ { "Product Management/Name": "New Feature 1", "Product Management/Description": "Description of the new feature 1", "workflow/state": "To Do" # notice how we use string literal for workflow field here }, { "Product Management/Name": "New Feature 2", "Product Management/Description": "Description of the new feature 2", "workflow/state": "In Progress" # notice how we use string literal for workflow field here } ] } In case of successful execution, you will get links to created entities. Make sure to give the links to the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesFibery Database where entities will be created.
entitiesYesList of dictionaries that define what fields to set in format [{"FieldName": value}] (i.e. [{"Product Management/Name": "My new entity"}]).
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that successful execution returns links to created entities and mentions that workflow fields require string literals. However, it doesn't disclose important behavioral aspects like authentication requirements, error handling, rate limits, or whether the operation is idempotent, which are significant gaps for a batch creation 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 appropriately sized but not optimally structured. The purpose statement is clear upfront, but the example dominates the text and includes implementation details that might be better in documentation. The final sentence about giving links to users is useful but could be integrated more smoothly. Some sentences could be more concise.

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?

For a batch creation tool with no annotations and no output schema, the description provides adequate basic information but has significant gaps. It explains the core functionality and parameter usage well through examples, but lacks details about error conditions, performance characteristics, permissions required, and what exactly the returned links contain. The example helps but doesn't fully compensate for missing structural information.

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?

With 100% schema description coverage, the baseline is 3. The description adds substantial value through the detailed example showing exactly how to structure the 'entities' parameter with field-value pairs, including the specific syntax for workflow fields. This goes well beyond what the schema provides, though it doesn't explain the 'database' parameter beyond what's in the schema.

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 specific action ('Create multiple Fibery entities at once') and resource ('Fibery entities'), distinguishing it from the sibling 'create_entity' tool which presumably creates single entities. The description explicitly mentions batch creation with specified fields, making the purpose unambiguous and differentiated.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool (creating multiple entities at once with specified fields) and includes a warning about using only databases from the user's schema. However, it doesn't explicitly state when NOT to use it or mention the 'create_entity' sibling as an alternative for single-entity creation scenarios.

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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