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delimit_ledger_query

Query a ledger using natural language to get answers from your project's history. Simplify data retrieval with conversational search.

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 provided, and description lacks behavioral details like side effects, model usage, or performance characteristics. For a natural language query tool, more transparency is needed.

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?

Single sentence is concise and front-loaded. 'Natural language' slightly redundant with schema but acceptable.

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?

Despite output schema existence, description lacks information about return format, question scope, or any behavioral constraints. Incomplete for a query 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 provides 100% coverage with clear descriptions for both parameters. Description adds 'natural language' and 'ChatOps 2.0' but not beyond schema semantics. Baseline score applies.

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?

Clear verb 'ask', specific resource 'the ledger', and scope 'natural language questions' with 'ChatOps 2.0' context. Distinguishes from sibling tools like delimit_ledger_list or delimit_ledger_add.

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 guidance on when to use this tool vs alternatives (e.g., delimit_intel_query, delimit_ledger_list). No context on query types or limitations.

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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