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results_outer_values

Retrieve outer solution indices and corresponding parameter values from a parametric sweep dataset.

Instructions

Get outer solution indices and values (parameter values in parametric sweep).

Args: dataset: Dataset name (default: default dataset) model_name: Model name (default: current model)

Returns: Arrays of indices and corresponding parameter values

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNo
model_nameNo
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only states a read-like operation without mentioning side effects, authorization, or whether it modifies state. The tool could be read-only, but this is not confirmed.

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 concise and front-loaded with the main purpose. The docstring format is clean and includes parameters and returns without unnecessary detail. However, it could be more compact.

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?

The description provides the essential purpose and parameter defaults, but lacks context on what 'outer' means in parametric sweeps, examples, or return format details. For a simple getter with no output schema, it is adequate but not comprehensive.

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?

The input schema has 0% description coverage, but the description includes brief parameter explanations ('Dataset name (default: default dataset)' and 'Model name (default: current model)'). This adds some meaning, though it remains minimal.

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?

The description clearly states 'Get outer solution indices and values (parameter values in parametric sweep).' This provides a specific verb and resource, and the mention of 'outer' distinguishes it from siblings like results_inner_values, though not explicitly.

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 is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions. Users must infer usage from the name 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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