create_datasources

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

Despite no annotations, the description discloses key behaviors: template filling when datasource_config is omitted, per-plugin defaults for REST/GraphQL and DB templates, default workspace_id, and final Redux list refetch. Mutation is implied and appropriate.

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

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

The description is a single focused paragraph of five sentences, front-loading the purpose (create multiple datasources) followed by structured details. Every sentence adds value with no redundancy.

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

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

Given no output schema and no annotations, the description covers parameter semantics, behavioral traits, default behaviors, and side effects (refetch). It is complete for a creation tool.

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

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

With 0% schema description coverage, the description fully compensates by listing allowed fields (name, plugin_id, url, datasource_config, workspace_id), explaining optionality and defaults, and clarifying template behavior. This provides clear meaning beyond the schema.

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

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

The description clearly states the tool creates multiple datasources via the REST API, using a specific verb and resource. It distinguishes from sibling tools like update_datasources and delete_datasources by focusing on creation.

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

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

The description implies batch creation efficiency but does not explicitly state when to use this tool over alternatives like update_datasources or list_datasources. No when-not-to-use guidance is provided.

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