atlas_tech_debt_quantifier

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

Annotations are absent, so the description must disclose behavioral traits, and it does not. It describes capabilities (calculating, estimating, predicting) but does not state whether the tool modifies files, requires permissions, or is read-only. There is no mention of side effects or output behavior beyond vague 'reports', leaving the agent without essential operational expectations.

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 well-structured with a bold title and a bullet list, and it front-loads the core purpose. Some bullets are redundant (e.g., 'Calculate actual monetary cost' repeats the first line), but overall it is concise and scannable.

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?

For a complex tool with six parameters and no output schema, the description lacks critical details about return values, report structure, and expected use flow. It promises 'executive-level financial reports' but does not specify whether output is a summary, JSON, file, or interactive output. The features are listed but not tied to how they are delivered.

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 input schema has 100% description coverage for all six parameters, so the schema already documents each parameter. The description's feature list (e.g., 'includeProjections' aligns with 'future debt projections') provides some contextual mapping, but it does not add parameter-specific syntax or format details beyond what the schema provides.

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 identifies the tool as a financial tech debt analysis engine with the specific verb 'Calculate' and resource 'actual cost of technical debt in dollars'. It enumerates distinct capabilities (priority ranking, ROI, projections) that differentiate it from sibling tools which have no analogous financial analysis focus.

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 provides clear context by stating the tool produces executive-level financial reports to justify refactoring budgets, implying the use case for cost quantification. It does not explicitly name alternative tools or exclusion scenarios, but the context is sufficient for an agent to infer appropriate use.

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