analyze_workflow_failures

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

With no annotations, the description carries the full burden of disclosing behavior, but it only says 'analyze workflow failures with AI-powered insights'. It does not mention whether the operation is read-only, what data it accesses, or what kind of insights are returned.

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

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

The description is a single short sentence, which is concise, but it sacrifices necessary information. The phrase 'AI-powered insights' adds little concrete value and could be omitted without loss.

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

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

The tool has minimal context: no annotations, no output schema, and a single parameter. Yet the description does not clarify what constitutes a 'failure', what insights are produced, or how this relates to sibling workflow tools. It leaves too much unspecified.

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

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

The schema has one required parameter, run_id, with no description. The tool description provides no explanation of what run_id refers to or how it influences the analysis, and schema description coverage is 0%.

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

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

The description clearly identifies the resource and action: 'Analyze workflow failures' with 'AI-powered insights'. It appears distinct from sibling tools like get_workflow_status and rerun_failed_jobs, though the exact nature of 'AI-powered insights' is vague.

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

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

No guidance is provided about when to use this tool vs alternatives, such as rerun_failed_jobs or get_workflow_status. The description only states what it does, not when to choose it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.