Ultra-planning & spec engine

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

Since no annotations are provided, the description carries the full transparency burden. It does disclose meaningful behavioral traits: it generates a hypothesis/anti-thesis analysis, scores on four dimensions, works offline, and has deterministic fallbacks. Missing are details about side effects, response format, or prerequisites, so transparency is adequate but not comprehensive.

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 dense sentence that front-loads the core purpose and efficiently packs process, scoring dimensions, and offline behavior. Some jargon like 'steeled' and 'hostile anti-thesis' is colorful but not wasteful; overall, every phrase 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 3-parameter tool with no output schema and no annotations, the description covers the core behavior and constraints reasonably well. It does not clarify output format, how the returned plan is structured, or how this tool relates to siblings in a workflow. Adequate but with clear gaps.

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 baseline of 3 applies. The description adds little parameter-specific meaning: it does not elaborate on goal, preset, or context beyond what the schema already states. It introduces no ambiguity or contradiction, but also no added semantic value.

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 opens with a specific action, 'Produce a steeled plan', clearly identifying the tool as the planning/spec engine. It further distinguishes the tool from siblings like jev_evaluate, jev_decide, and jev_redteam by specifying a unique process and output characteristics: hypothesis, anti-thesis, and scoring on feasibility, failure risk, cost, and maintainability.

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 intended use is implied by the planning verb and title, making it reasonable for an agent to infer when to select this tool. However, there is no explicit guidance about when to use it versus the many sibling tools, and no exclusions or alternative routing are mentioned. The offline/deterministic fallback note gives some environment-related context.

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