suggest_parallelism_method

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions 'provides recommendations for best performance' but does not clarify if the tool has side effects (e.g., does it modify anything?), whether it requires prior setup, or how it handles errors. This is insufficient transparency for a tool that likely needs to be called before exporting.

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 extremely concise: two sentences totaling 18 words. Every word is relevant and contributes to the purpose. There is no unnecessary 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 low complexity of the tool (no nested objects, no output schema) and full schema coverage, the description is minimally adequate. However, it does not describe the output format (e.g., what does the suggestion look like? A string? An object?) which could be confusing for an agent. A score of 3 reflects this gap.

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 100%, so the baseline is 3. The description adds no additional meaning beyond the schema: it says 'based on source database type and table characteristics' which is a restatement of the parameters. No extra semantic value is provided.

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's purpose: suggesting the optimal parallelism method based on source database type and table characteristics. The verb 'suggest' and resource 'parallelism method' are specific and differentiate it from sibling tools which focus on exporting, versioning, format listing, preview, and validation.

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 usage for obtaining parallelism recommendations but does not provide explicit guidance on when to use this tool versus alternatives, nor does it state prerequisites or exclusions. The context from sibling tools provides some differentiation, but direct usage guidance is lacking.

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