get_data_source_schema
Retrieve the schema of a Redash data source, listing its tables and columns, by providing the data source ID.
Instructions
データソースのスキーマ(テーブル・カラム)。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data_source_id | Yes |
Retrieve the schema of a Redash data source, listing its tables and columns, by providing the data source ID.
データソースのスキーマ(テーブル・カラム)。
| Name | Required | Description | Default |
|---|---|---|---|
| data_source_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral traits. It only states the tool 'gets' schema, but does not disclose whether it is read-only, how to interpret results, or any side effects. Minimal disclosure.
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 very short (one sentence) with no wasted words. However, it is under-specified for the tool's purpose. Conciseness should not sacrifice completeness; here it veers toward insufficient information.
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 the tool has one required parameter, no output schema, and no annotations, the description fails to provide necessary context such as return format, expected input, or usage notes. It is severely incomplete.
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?
Schema description coverage is 0%, so description must add meaning. It does not explain what 'data_source_id' refers to, how to find it, or its format. The description adds no value beyond the parameter name.
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 that it gets the schema (tables, columns) of a data source. The verb 'get' and resource 'data_source_schema' are specific. While it distinguishes from siblings like 'get_dashboard' or 'list_data_sources', it does not explicitly differentiate from similar schema-related tools.
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?
No guidance on when to use this tool versus alternatives. There is no description of context, prerequisites, or exclusions. The agent is given no help in selecting this tool over siblings.
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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