delimit_intel_dataset_freeze

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

No annotations are provided, so the description carries full burden. It discloses the key behavioral effect: 'prevents further modifications,' indicating immutability. However, it does not mention whether the operation is reversible or what happens to existing operations.

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?

Two sentences, no filler. Every word serves a purpose. Front-loaded with action and consequence.

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 low complexity, single param, and presence of output schema, the description is mostly complete. It could mention output expectations or side effects like irreversibility, but current content suffices for a simple freeze 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% for the single parameter 'dataset_id' with description 'Dataset identifier.' The description does not add extra meaning beyond the schema. Baseline 3 applies; no additional context provided.

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: 'Mark a dataset as immutable (frozen). Prevents further modifications.' It specifies the verb (mark) and resource (dataset) and distinguishes from sibling tools, as no other sibling includes 'freeze'.

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 when to use (when dataset should be made immutable), but provides no explicit guidance on prerequisites, when not to use, or alternatives. Lacks contextual cues for an agent to decide vs. other intel_dataset tools.

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