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warpmetrics

Warpmetrics MCP Server

Official
by warpmetrics

get_outcome

Retrieve a single outcome by ID to access its full details, including acts, provenance chain, target resolution, and classification, enabling in-depth analysis of AI agent performance.

Instructions

Get outcome detail. Retrieve a single outcome by ID with full details including acts, provenance chain, target resolution, and classification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesOutcome ID
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that it retrieves a single outcome by ID and lists the return fields, but does not mention error handling, auth requirements, or idempotency. 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?

Two sentences front-load the purpose and expand with details. No unnecessary words. Highly concise and well-structured.

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?

With no output schema, the description provides useful details about what is returned (acts, provenance chain, etc.). Complexity is low, and the description is mostly complete, though it could mention error behavior.

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 coverage is 100% with parameter 'id' described as 'Outcome ID'. The description adds no additional meaning beyond that, resulting in a baseline score of 3.

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 retrieves a single outcome by ID with full details including specific fields like acts, provenance chain, target resolution, and classification. This distinguishes it from sibling tools like list_outcomes (listing) or get_outcome_stats (statistics).

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 context implies usage for fetching a specific outcome's details, but no explicit guidance on when to use versus alternatives. The naming and sibling differentiation provide clear context, so it scores 4.

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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