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record_event

Captures development events like file edits, test runs, and corrections with evidence and reasoning, enabling offline-verifiable audit trails for AI agent decisions.

Instructions

Record a development event (file edit, test run, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
successNo
entitiesNoEntity names/paths involved
evidenceNoTool inputs/outputs, file contents, etc.
reasoningNo
event_typeYes
session_idYes
descriptionYes
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Record' implying a write operation, but doesn't explain persistence, idempotency, success/failure effects, or whether it appends to a log. This is insufficient for a mutation tool.

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

Conciseness3/5

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

The description is one short sentence, which is concise, but it under-specifies the tool's behavior. While brevity is good, the sentence doesn't earn its place by providing necessary context, making it closer to under-specification than effective conciseness.

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 the tool has 7 parameters, no output schema, and no annotations, the description is far from complete. It doesn't explain required fields, return values, or how the event data is used. The description is only a high-level purpose statement, inadequate for safe and correct invocation.

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

Parameters2/5

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

Schema coverage is only 29%, so the description must compensate for missing parameter details. It adds examples for event_type ('file edit, test run'), which is redundant with the enum, but it doesn't explain session_id, description, success, or reasoning. The description adds minimal semantic value beyond the schema.

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

Purpose3/5

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

The description states the general action ('Record a development event') with examples, so it's more than a tautology. However, it's vague about what constitutes a 'development event' and doesn't distinguish from sibling record tools like record_test_outcome or record_correction, which likely overlap in purpose.

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 is provided on when to use this tool versus alternative record tools. The description doesn't mention any conditions, prerequisites, or exclusions, leaving the agent without direction for tool selection.

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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