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mguttmann
by mguttmann

Getting a specific data source

action1_get_data_source
Read-onlyIdempotent

Retrieve detailed information about a specific data source by providing its ID. Use this to inspect data source configuration and metadata.

Instructions

Getting a specific data source. Gets details about a specific data source. Perm: manage_data_sources, manage_reports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
verboseNoSkip per-item compactor.
data_source_idYesProvide a specific data source ID.
response_formatNoOutput format. Default markdown.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already indicate readOnlyHint, idempotentHint, and destructiveHint=false, so the description's burden is lowered. The description adds permission requirements but no further behavioral details (e.g., rate limits, side effects). With annotations providing the safety profile, a score of 3 is appropriate.

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

Conciseness4/5

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

The description is very short—two sentences plus permission—and front-loaded with the purpose. It is concise, though the first sentence is somewhat redundant with the title. No unnecessary words.

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

Completeness4/5

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

Given the tool's simplicity and the presence of an output schema (not shown but indicated) and complete parameter documentation, the description is adequate. It mentions permissions, which is helpful. It could mention handling of invalid IDs, but overall it provides sufficient context for an AI agent.

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 baseline is 3. The description does not add any extra meaning beyond what the schema provides for the three parameters. No additional clarification is given.

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 'gets details about a specific data source', using a specific verb and resource. It distinguishes from sibling tools like 'list_data_sources' and 'create_data_source' by focusing on a single data source retrieval.

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 mentions required permissions ('manage_data_sources, manage_reports') which provides context, but it does not explicitly state when to use this tool versus alternatives like 'list_data_sources' or 'update_data_source'. The guidance is implied by the name and description but not explicit.

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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