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Delimit Ledger Bulk

delimit_ledger_bulk

Apply status, priority, or tag changes to multiple ledger items in one batch. Preview changes by default; set dry_run=false to apply the same action to all selected IDs.

Instructions

Apply one action to many ledger items in a single call (LED-1145 Phase 1 PR-B).

When to use: after delimit_ledger_groom or another tool surfaces a list of item ids that should all receive the same change. When NOT to use: for a single item (use delimit_ledger_update or delimit_ledger_done).

Sibling contrast: delimit_ledger_update is one item; delimit_ledger_groom proposes; this applies bulk.

Side effects: when dry_run=False, writes status/priority/tag changes via the ledger manager. Per-item failures don't block the batch. Default dry_run=True returns what would change without writing — callers MUST explicitly pass dry_run=False to apply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNorequired when action="add_tag".
noteNooptional note attached to every successful update event.
actionYesone of the actions above.
dry_runNoTrue (default) returns `would_change`; False applies and returns `changed`.
ventureNoproject name or path. Auto-detects if empty.
item_idsYescomma-separated LED ids (e.g. "LED-915,LED-916,LED-918") or a JSON array of strings.
new_statusNorequired when action="set_status".
new_priorityNorequired when action="set_priority".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv4.7.9

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only indicate readOnlyHint=false and destructiveHint=false, so the description carries the burden of explaining behavior. It clearly discloses that dry_run=False writes status/priority/tag changes, that per-item failures do not block the batch, and that callers must explicitly pass dry_run=False to apply. No contradiction with annotations exists.

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

Conciseness4/5

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

The description is well-structured with labeled sections, front-loaded purpose, and minimal redundancy. It loses a point for the 'LED-1145 Phase 1 PR-B' ticket reference, which adds non-actionable noise for an agent, but overall each substantive section earns its place.

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?

The description covers when to use the tool, when not to use it, alternative tools, side effects, default behavior, and failure semantics, and an output schema exists for return values. The main gap is that the set of valid action strings is not explicitly enumerated in the description, which would make invocation more robust.

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

Parameters4/5

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

The schema already covers 100% of parameters with descriptions, so the baseline is 3. The description adds meaningful context by explaining dry_run semantics and the write side effects tied to status/priority/tag actions. It does not enumerate the exact action enum values, but related parameter descriptions partially compensate.

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 opens with a concrete verb and object—'Apply one action to many ledger items in a single call'—making the tool's core function immediately clear. It also explicitly contrasts with delimit_ledger_update and delimit_ledger_groom, so an agent can distinguish this bulk-applier from its siblings without inspecting schemas.

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 includes dedicated 'When to use' and 'When NOT to use' guidance, plus a direct sibling contrast. It tells the agent to use single-item tools for one item and to reach for this tool only after a grooming/list step produces multiple IDs needing the same change.

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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