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delimit_cost_analyze

Scans project files to identify cost drivers such as Dockerfile, dependencies, and cloud configurations. Surfaces areas where spending originates.

Instructions

Analyze a project for cost drivers (Dockerfile, deps, cloud) (Pro).

When to use: when investigating spend on a project — scans Dockerfile, dependency manifests, and cloud configs for cost signals. When NOT to use: to enact cost reductions (use delimit_cost_optimize) or to manage alert rules (delimit_cost_alert).

Sibling contrast: delimit_cost_optimize finds reduction opportunities; this surfaces drivers (where the cost is).

Side effects: read-only on the target. Gated by require_premium. Calls backends.tools_data.cost_analyze.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoProject or infrastructure path to analyze. Default "." (cwd)..

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries full burden. It declares read-only side effects, gating by require_premium, and backend call. Lacks specifics like rate limits or response size, but output schema covers return structure.

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?

Well-structured with sections (when to use, not to use, sibling contrast, side effects). Every sentence is informative and earns its place.

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

Completeness5/5

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

Given the simple tool with one parameter and output schema, the description covers usage, behavior, and context adequately. No gaps identified.

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% for the single parameter 'target', including description. Description adds no extra meaning beyond schema, so baseline 3 is appropriate.

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 states the tool analyzes projects for cost drivers, listing specific scans (Dockerfile, deps, cloud configs). It distinguishes itself from siblings delimit_cost_optimize and delimit_cost_alert.

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?

Provides explicit 'When to use' (investigating spend) and 'When NOT to use' (enacting reductions or managing alerts), with clear references to alternative tools.

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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