Skip to main content
Glama

create_datasource_entry

Add a new entry to a Storyblok datasource by specifying name, value, and optional dimension for structured content management.

Instructions

Create a datasource entry. Pass name, value, and optional dimension.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasource_idYes
nameYes
valueYes
dimensionNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Create' implying a write operation, but doesn't disclose behavioral traits like permissions required, whether it's idempotent, error handling, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is inadequate.

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?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and lists key parameters, making it easy to parse quickly.

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 a mutation tool with 4 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameters, behavioral context, usage scenarios, and expected outcomes, which are critical for effective tool invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions 'name, value, and optional dimension', covering 3 of 4 parameters but omitting the required 'datasource_id'. It doesn't explain what these parameters mean (e.g., what 'dimension' represents) or provide examples, leaving significant gaps.

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 action ('Create') and resource ('a datasource entry'), specifying what it does. It distinguishes from siblings like 'create_datasource' (which creates the datasource itself) and 'update_datasource_entry' (which modifies existing entries). However, it doesn't explicitly mention the required 'datasource_id' parameter, which is a minor gap in specificity.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing datasource), exclusions, or comparisons to siblings like 'create_datasource' or 'update_datasource_entry'. This leaves the agent without context for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/patrikmichi/storyblok-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server