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pmg_action_bcc_create

Create a BCC action object in PMG RuleDB to automatically send a blind carbon copy of emails to a specified recipient. Preview changes with dry-run, then confirm to apply.

Instructions

MUTATION (LOW): create a BCC action object in the PMG RuleDB. Dry-run by default.

List existing action objects with pmg_action_objects_list; attach this one to a rule with pmg_ruledb_rule_action_attach. Needs PROXIMO_PMG_* config. confirm=True executes and returns {"status": "ok", "result": <PMG's raw API response>}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
infoNoOptional free-text description.
nameYesName for the new BCC action object.
targetYesBCC recipient email address.
confirmNoFalse (default) returns a dry-run PLAN; True executes the mutation.
originalNoIf True, BCC the original unmodified mail instead of the processed copy.
proximo_targetNoWhich configured Proxmox target to run this call against — a target name from your multi-target config (a specific PVE/PBS/PMG/PDM box). Omit to use the single/default target from the environment; the selection applies only to this call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are present, so the description carries full burden. It discloses the mutation nature with risk level 'LOW', the dry-run default, the execution behavior with confirm=True, and the response format. However, it does not detail failure modes or idempotency, which would make it more transparent.

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?

The description is very concise: two sentences plus a third for the return format. It front-loads the purpose and default behavior, and every sentence adds value without redundancy.

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?

Given the tool's complexity (6 params, 2 required, output schema present), the description covers the core workflow: creation, dry-run vs execution, configuration requirement, and relation to siblings. The output schema handles return values. Minor gaps like error handling or name conflicts do not significantly detract from completeness.

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 minimal extra meaning beyond the schema descriptions (e.g., 'dry-run PLAN' for confirm=False). It does not significantly enhance understanding of parameter usage beyond what the schema already provides.

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 the verb 'create', the resource 'BCC action object', and the context 'PMG RuleDB'. It distinguishes from sibling tools like pmg_action_objects_list and pmg_ruledb_rule_action_attach by specifying the tool's unique role in the workflow.

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?

The description provides explicit guidance on when to use this tool ('create a BCC action object'), how to prepare (list existing actions with pmg_action_objects_list), and what to do after (attach to a rule with pmg_ruledb_rule_action_attach). It also mentions the required config (PROXIMO_PMG_*) and the dry-run vs execution behavior via confirm parameter.

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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