okf_validate_concept

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

The description explicitly states the tool validates without writing, aligning with annotations (readOnlyHint=true, idempotentHint=true, destructiveHint=false). It adds behavioral context beyond annotations by clarifying no file is written.

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?

A single, front-loaded sentence with no unnecessary words. Perfectly concise.

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 description lacks any hint about the return value or validation result format. Since there is no output schema, the agent has no way to know what to expect from this tool.

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 coverage is 100% with parameter descriptions in the schema. The tool description adds no additional meaning about the parameters beyond what the schema provides.

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 validates a proposed new OKF concept without writing, which distinguishes it from creation tools. However, it does not elaborate on what validation checks are performed.

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 implies use for dry-run validation before writing a concept, but does not explicitly specify when to use over sibling tools like validate_bundle or validate_project.

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