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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds value by disclosing the required calling order ('REQUIRES get_database_schema then get_query_patterns to be called first') and the timing relative to SQL writing, which are not in annotations. It does not contradict the annotations.

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 compact and front-loaded with the core purpose, followed by prerequisites, usage triggers, and combination note. Every sentence provides necessary information without redundancy or fluff. It is appropriately concise for the complexity.

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 there are no parameters and an output schema exists, the description covers all necessary operational context: what the workflow is for, when to call it, prerequisites, and that it can be combined with other workflows. The output schema handles return-value details, so no additional description is needed.

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?

The tool has zero parameters, so the baseline is 4 per rubric. The description explains the workflow concept and usage, and there are no parameter semantics to add. It adequately compensates with context about what the workflow is for.

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 loads a 'comparison workflow' and provides specific use cases: 'X vs Y, peer analysis, relative valuation'. It distinguishes this workflow from sibling tools like load_earnings_workflow or load_technical_workflow by focusing on comparison scenarios.

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?

It explicitly lists when to use ('Call BEFORE writing SQL when the user asks to compare companies, "X vs Y", "how does X compare to Y", peer benchmarking, sector peers, side-by-side metrics, or relative valuation') and also states required prerequisites: 'get_database_schema then get_query_patterns to be called first (in that order)'. It adds that it can be combined with other workflow tools, giving complete usage context.

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