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Get Results

get_results

Retrieve metrics for a completed EEG/BCI run using its execution ID. Returns trimmed accuracy, kappa, ITR, confusion matrix, and per-class results by default; set full for complete data.

Instructions

Metrics for a completed run. Trimmed by default (accuracy, kappa, ITR, confusion matrix, per-class); full=True returns the complete result object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fullNo
execution_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that output is trimmed by default and that full=True returns the complete object, which is real behavior beyond the schema. It says nothing about permissions, behavior on an incomplete/failed run, or error conditions.

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 short sentences, front-loaded with the purpose and immediately followed by the default-vs-full behavior. No filler or repetition.

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?

An output schema exists, so return values need not be re-explained; the description nonetheless names the trimmed fields helpfully. For a 2-param read tool the main residual gap is the unexplained `execution_id` and lack of routing against sibling retrieval tools.

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 description coverage is 0%, so the description must compensate. It explains the `full` flag well (default trimmed vs complete object) but says nothing about `execution_id`, leaving half the parameters undocumented in both schema and description.

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

Purpose4/5

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

States a specific verb+resource: retrieves metrics for a completed run, and even enumerates the trimmed metric fields. It does not, however, distinguish itself from close siblings like get_execution or get_experiment, leaving some ambiguity about which retrieval tool to pick.

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

Usage Guidelines3/5

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

The phrase 'for a completed run' implies the precondition (run must have finished) and the context in which to use it, but there is no explicit when-to-use vs alternatives guidance or when-not guidance against get_execution/list_executions.

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