efficiency_score

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

With no annotations, the description carries the burden of disclosing behavioral traits. It explains that the analysis is deterministic, requires no API key, and runs instantly, which is useful. However, it does not disclose whether the operation is read-only, potential side effects, or what happens on invalid input, leaving some ambiguity.

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 sentence that front-loads the purpose and immediately adds key behavioral cues (deterministic, no API key, instant). Every word contributes value with no redundancy or irrelevant detail.

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?

The tool is simple with one parameter and no output schema. The description explains the purpose and key benefits but does not clarify the return format or structure beyond calling it an 'efficiency analysis'. Given the absence of an output schema, this is a notable gap, though the name 'efficiency_score' partly compensates.

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% coverage for the single parameter 'trace', describing it as a JSON string conforming to the AgentTrace schema. The description adds no parameter-specific meaning beyond the schema, so it relies entirely on the schema's documentation. The baseline of 3 is appropriate.

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 a specific purpose: deterministic efficiency analysis of token usage, tool redundancy, and latency. It distinguishes itself from siblings by focusing on efficiency metrics rather than judgment (judge_trace) or decomposition (trace_breakdown), making it easy for an agent to select when such analysis is needed.

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 for usage: it is deterministic, requires no API key, and runs instantly. These traits suggest appropriate scenarios (e.g., quick, low-cost analysis). However, it does not explicitly state when not to use it or mention alternative tools, so it falls short of the highest level.

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