get_test_coverage_by_test_case_steps_by_key

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'recommendations' but lacks critical details: whether this is a read-only analysis or modifies data, what the output looks like (format/content), error handling, or performance characteristics. For a 9-parameter analysis tool, this is insufficient.

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 a single, efficient sentence that front-loads the core purpose. It uses an emoji for visual emphasis but maintains focus. No wasted words, though it could potentially benefit from slightly more structure for a complex tool.

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 analysis tool with 9 parameters and no output schema, the description is inadequate. It doesn't explain what the analysis produces, how recommendations are structured, or the tool's behavioral characteristics. With no annotations and rich parameter schema, the description should provide more context about outputs and usage patterns.

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 schema fully documents all 9 parameters. The description doesn't add any parameter-specific context beyond what's in the schema (e.g., explaining relationships between parameters or usage patterns). Baseline 3 is appropriate when the schema does all the work.

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: analyzing test case coverage against implementation with recommendations. It uses specific verbs ('analyze') and identifies the resource ('test case coverage'), but doesn't explicitly differentiate from sibling tools like 'get_enhanced_test_coverage_with_rules' or 'get_test_case_by_key', which prevents a perfect score.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, appropriate contexts, or exclusions, leaving the agent to infer usage from the tool name and parameters alone.

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