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delimit_ledger_query

Ask natural language questions about a project's persistent ledger to retrieve code change history, API lint results, and audit records. Automatically detects the project.

Instructions

Ask natural language questions about the ledger (ChatOps 2.0).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language question about the ledger.
ventureNoProject name or path. Auto-detects if empty.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, and the description does not disclose behavioral traits such as read-only nature, side effects, error handling, or response format. The agent is left to infer that queries are safe, but this is not explicit.

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 extremely concise (one short sentence) and front-loads the main action. While it could benefit from a bit more detail, it wastes no words.

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

Completeness2/5

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

Given many sibling ledger tools, the description is too brief. It does not mention output format or capabilities, despite an output schema existing. The agent lacks context to fully understand what to expect.

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 descriptions cover both parameters fully (100% coverage), so the description adds no extra meaning beyond the schema. Baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool's purpose: asking natural language questions about the ledger. The mention of 'ChatOps 2.0' hints at conversational use. It distinguishes from sibling ledger tools that add, list, or update entries, though it could be more specific about what constitutes a 'question'.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives like delimit_ledger_list or delimit_ledger_context. The description lacks when-not-to-use advice or examples of appropriate queries.

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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