calculate_embodied

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

With no annotations, the description carries the burden. It discloses key behavioral traits: assembles lifecycle modules, reports module D separately, and flags missing stages as 'not-assessed' (never zero). It does not mention side effects or authentication, but for a calculation tool these are likely negligible and the core behavior is well explained.

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 two sentences, front-loads the purpose, and packs necessary details (modules, boundary, missing-stage behavior, key lookup) without redundancy. Every sentence earns its place.

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 single-parameter tool with a well-documented schema and no output schema, the description covers the behavior, output logic, and usage thoroughly. It explains what the tool does with inputs and its output conventions (e.g., module D separately, missing stages flagged), making it complete for an agent.

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 schema already describes the materials array structure fully (100% coverage), but the description adds the boundary options and directs the agent to search_factors for valid material keys—useful context beyond the schema. This meaningfully aids correct invocation.

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 calculates whole-life embodied carbon for materials per EN 15978, with specific details on module assembly and boundary handling. It implicitly distinguishes itself from siblings like calculate_pcaf by focusing on materials and using the EN standard.

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 concrete usage guidance: tells the agent to find material keys via search_factors, and lists optional boundary choices (A1-A3, A1-A4, etc.). It does not explicitly state when not to use this tool, but the material-specific framing and reference to search_factors give adequate context.

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