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

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds valuable context beyond that: it specifies the prerequisite ordering and clarifies that this is a setup/loading step before writing SQL. No contradictions with annotations. This enriched context earns a top score.

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?

Every sentence serves a purpose: purpose, prerequisites, usage triggers, and combinability are all packed into three sentences without redundancy. The most critical info (purpose, ordering) is front-loaded. Very concise and well structured.

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?

Despite having no parameters and no detailed output schema, the description covers prerequisites, intended usage scenarios, and relationship to other tools. It is fully complete for an AI agent to decide when and how to invoke it correctly, especially with the provided annotations.

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 per the rubric baseline is 4. The description adds no parameter information, which is acceptable because there are no parameters to describe. It indirectly clarifies that no arguments are needed to invoke this workflow.

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 fundamental analysis workflow, listing specific components (valuation, cash flow, margins, balance sheet) and explicitly distinguishes it from sibling workflow tools by naming both the resource and the subject matter. The verb 'load' is specific to this tool.

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?

Provides explicit when-to-use guidance with concrete triggers ('when the user asks about company valuation, is X a good buy, financial health...'), a required call order ('REQUIRES get_database_schema then get_query_patterns to be called first'), and even notes combinability with other tools. This is exemplary usage guidance.

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