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errors.ingest

Ingest errors to automatically trigger an investigation pipeline for diagnosing failures.

Instructions

Ingesta um erro e dispara pipeline de investigação automaticamente.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceNo
error_typeYes
environmentNo
stack_traceNo
error_messageYes
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 transparency burden. It discloses the automatic pipeline trigger as a behavioral side effect, but does not mention return values, error handling, idempotency, or authorization requirements.

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 sentence with no wasted words. It front-loads the primary action and side effect, achieving maximum 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?

For a tool with 5 parameters and no output schema or annotations, the description is too brief. It omits details about valid input values, the format of stack_trace, the nature of the investigation pipeline, and what the tool returns. The agent lacks sufficient context to use it reliably.

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 description coverage is 0%, and the description adds no explanation of the five parameters. Parameter names (e.g., error_type, stack_trace) are somewhat self-explanatory, but the description does not clarify expected formats, allowed values, or the role of each parameter.

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 clearly states the tool's action: 'Ingest an error' and its side effect: 'automatically triggers investigation pipeline.' It distinguishes from siblings like errors.list and errors.get_investigation by adding the automatic pipeline trigger.

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 versus alternatives like errors.list or errors.get_investigation. There is no mention of prerequisites, error conditions, or when not to use it.

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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