compare_builds

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

No annotations are provided, so the description carries full burden. It mentions 'using baseline data' which adds some context about data sources, but doesn't disclose critical behavioral traits: whether this is a read-only analysis or has side effects, what the comparison output looks like, whether it's computationally intensive, or if there are rate limits. For a comparison tool with zero annotation coverage, 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 functionality. Every word earns its place: 'Compare two firmware builds' establishes the action, 'across all sensor types and profiles' defines scope, and 'using baseline data' adds important context. No wasted words or redundancy.

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 tool's moderate complexity (comparison operation with 2 parameters) and lack of both annotations and output schema, the description is minimally adequate. It covers what the tool does but leaves significant gaps: no output format, no behavioral constraints, and no usage guidance. The description meets basic requirements but doesn't provide enough context for confident tool selection and invocation.

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%, with both parameters clearly documented as 'First build name' and 'Second build name'. The description adds no additional parameter semantics beyond what the schema provides. It doesn't clarify build name format, valid values, or relationship between the two builds. Baseline 3 is appropriate when schema does the heavy lifting.

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: 'Compare two firmware builds across all sensor types and profiles using baseline data.' It specifies the verb ('compare'), resource ('firmware builds'), and scope ('across all sensor types and profiles'). However, it doesn't explicitly differentiate from sibling tools like 'fingerprint_regression' or 'fleet_regression_sweep' that might involve similar comparison concepts.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. Given the many sibling tools related to testing, regression, and analysis, the agent receives no help in selecting this specific comparison tool over others.

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