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angrysky56

NeoCoder Neo4j AI Workflow

by angrysky56

log_workflow_execution

Log successful workflow executions after passing tests. Record project ID, action keyword, summary, and files changed to maintain an accurate history of completed coding workflows.

Instructions

Record a successful workflow execution (ONLY after passing tests).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoAdditional notes about the workflow execution
summaryYesSummary of what was done
project_idYesID of the project
tests_passedNoWhether all required tests passed
files_changedYesList of files that were modified
action_keywordYesKeyword of the action template used (e.g., FIX, REFACTOR)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the usage condition (after tests) but does not detail side effects, persistence, auth requirements, or whether it can be called multiple times. It is adequate but not rich.

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 a single, concise sentence that front-loads the verb and object, and includes the key condition. Every word contributes, with no fluff.

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?

For a simple logging tool with full schema coverage and an output schema, the description sufficiently covers the core purpose and usage condition. It could mention repeated calls or idempotency, but the current level is adequate.

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 description coverage is 100%, with every parameter documented. The description adds no parameter-level details beyond what the schema already provides, so the baseline of 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 uses a specific verb 'Record' and object 'workflow execution', clearly stating the tool's action. The condition 'ONLY after passing tests' adds precision and distinguishes it from read-only siblings like get_workflow_history.

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

Usage Guidelines4/5

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

The description provides an explicit condition for use: 'ONLY after passing tests'. This clearly implies when it should be used, though it does not mention alternative tools or situations where it should not be used beyond that condition.

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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