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get_outcome_report

Generate a comprehensive outcome report that identifies problematic components, enabling users to diagnose issues and optimize system performance.

Instructions

Get overall outcome report with problematic components.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
total_componentsYes
frequently_removedYesComponents often removed by users
potential_conflictsYes(component_a, component_b, co_failure_count) tuples
problematic_componentsYesComponents with low success rates
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a read operation ('Get') but doesn't mention permissions, rate limits, response format, or whether it's idempotent. For a report-fetching tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

Conciseness4/5

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

The description is a single, efficient sentence that directly states the tool's purpose. It's front-loaded with the core action and includes a key detail (problematic components), though it could be slightly more structured for clarity.

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

Completeness3/5

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

Given the tool has an output schema (which handles return values) and a simple parameterless input schema, the description is minimally adequate. However, for a report tool in a context with many siblings (like 'get_outcome_stats'), it lacks detail on scope, format, or integration points, making it incomplete for optimal agent use.

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

Parameters4/5

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

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter information, but this is appropriate given the schema completeness. Baseline is 4 for zero parameters, as the description doesn't need to compensate for any gaps.

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 tool 'Get overall outcome report with problematic components' which provides a general purpose (retrieving a report) but is vague about what constitutes an 'outcome report' or 'problematic components'. It distinguishes from siblings like 'get_outcome_stats' by focusing on problematic components rather than statistics, but lacks specificity about the resource domain or exact verb meaning.

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 explicit guidance on when to use this tool versus alternatives like 'get_outcome_stats' or 'report_outcome' is provided. The description implies usage for obtaining reports with problematic components, but doesn't specify contexts, prerequisites, or exclusions, leaving the agent to infer based on tool names alone.

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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