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Fibery-inc

Fibery MCP Server

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by Fibery-inc

create_entity

Create new records in Fibery databases by specifying fields and values to populate structured data entries.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesFibery Database where to create an entity.
entityYesDictionary that defines 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. It discloses that successful execution returns a link to the created entity, which is useful behavioral context. However, it doesn't mention permission requirements, error conditions, rate limits, or whether the operation is idempotent, leaving gaps 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 front-loaded with the core purpose, but includes verbose examples and implementation details that could be streamlined. The warning about non-existent databases is necessary but lengthy, and the example could be more concise while still being helpful.

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 mutation tool with no annotations and no output schema, the description provides basic context about the return value (a link) and includes examples. However, it lacks information about error handling, authentication needs, and doesn't fully compensate for the absence of structured behavioral annotations.

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%, so the schema already documents both parameters thoroughly. The description adds minimal value beyond the schema by providing examples of parameter usage, but doesn't explain semantics like field name formatting or value constraints beyond what's in the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create' and resource 'Fibery entity with specified fields', which is specific and actionable. It distinguishes from siblings like 'update_entity' by focusing on creation rather than modification. However, it doesn't explicitly differentiate from 'create_entities_batch', which handles batch creation.

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?

The description provides implied usage through examples and warnings about using only databases from the user's schema, but lacks explicit guidance on when to use this tool versus alternatives like 'create_entities_batch' for multiple entities or 'update_entity' for modifications. No explicit when-not-to-use or prerequisite information is given.

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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