delimit_intel_snapshot_ingest

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

No annotations provided, so description must carry full burden. Discloses side effects (writes snapshot record) and internal coercion behavior (_coerce_dict_arg). Could add more detail on idempotency or error handling, but current detail is above average.

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?

Structured into clear, labeled sections: purpose, when to use, when not to use, sibling contrast, side effects. No redundant sentences; 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?

With output schema present and only 2 parameters, description covers purpose, usage, side effects, and input behavior. Sufficient for agent to use correctly without additional clarification needed.

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%, but description adds value by explaining coercion from JSON strings to dicts, which is not in schema descriptions. Enhances understanding of flexibility for both parameters.

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?

Clearly states verb 'store'/'ingest' and resource 'research snapshot with provenance'. Explicitly contrasts with sibling tools: 'delimit_intel_dataset_register declares; delimit_intel_query reads; this writes new snapshots.'

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 explicit 'When to use' (ingest research/signal data) and 'When NOT to use' (register dataset or query), with direct references to alternative tools. Excellent guidance.

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