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delimit_intel_dataset_register

Register a new dataset to declare a named data collection for future ingest operations.

Instructions

Register a new dataset in the file-based intel registry.

When to use: at the start of an intel collection effort, to declare a named dataset that future ingest calls will write to. When NOT to use: to write data into an existing dataset (use delimit_intel_snapshot_ingest) or to inventory datasets (delimit_intel_dataset_list).

Sibling contrast: delimit_intel_dataset_list inventories; delimit_intel_dataset_freeze locks; this creates.

Side effects: writes a registry entry via backends.tools_data.intel_dataset_register. Coerces schema from a JSON string to a dict via _coerce_dict_arg.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDataset name (key). Required.
schemaNoOptional JSON schema as dict or JSON string.
descriptionNoHuman-readable description for the registry.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Discloses side effects: 'writes a registry entry via backends.tools_data.intel_dataset_register' and schema coercion via '_coerce_dict_arg'. With no annotations, this adds good transparency. Minor omission: no mention of whether duplicate names are allowed or overwritten.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise: 4 sentences covering purpose, usage, contrasts, and side effects. Front-loaded with primary action. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, usage, and side effects. Output schema exists, so return values need no explanation. Might benefit from mentioning prerequisite (e.g., registry existence) or error cases, but not essential for a simple registration tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value only for the schema parameter (coercion detail). Not enough to raise to 4, but not lacking.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Register a new dataset in the file-based intel registry.' It uses a specific verb (Register) and resource (dataset), and distinguishes from siblings by explicitly contrasting with list and freeze tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly provides when to use ('at the start of an intel collection effort') and when not to use ('to write data into an existing dataset' or 'to inventory datasets'), with clear alternatives (delimit_intel_snapshot_ingest, delimit_intel_dataset_list).

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

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