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Poly-Glot AI Workspace

Prepare custom Compare Mode

prepare_custom_compare

Build a Compare Mode plan containing built-in Poly-Glot providers and developer-supplied custom model descriptors. Credentials are supplied only at execution time and are never embedded in the comparison plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
uiLanguageNoEN
customModelsYes
inputLanguageNoEN
outputLanguageNoEN
builtinProvidersNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

The description adds a meaningful behavioral guarantee: credentials are never embedded in the comparison plan. This goes beyond the sparse annotations. It does not, however, disclose other behaviors such as whether the plan is persisted, validated, or immediately executed.

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 efficient sentences fully front-load the purpose and add a relevant security constraint. There is no fluff or repetition of schema details.

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

Completeness2/5

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

The tool has no output schema and minimal annotations, so the description should clarify expected return behavior and parameter semantics. It does neither in sufficient detail. The agent is left to infer what a 'plan' actually is and how custom model descriptors are interpreted.

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

Parameters2/5

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

The schema has 0% description coverage, so the description must compensate. It only alludes to two parameter groups ('custom model descriptors' and 'built-in providers') but never explains prompt, uiLanguage, inputLanguage, outputLanguage, or the nested customModels fields. This is insufficient for a 6-parameter tool.

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 states a specific action ('Build a Compare Mode plan') and identifies the exact ingredients: built-in Poly-Glot providers and developer-supplied custom model descriptors. The 'custom' qualifier clearly distinguishes this from the sibling prepare_compare tool.

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 description gives clear context: this is for building a compare plan involving custom model descriptors, as opposed to a standard compare. It also clarifies a timing aspect (credentials supplied only at execution time). However, it does not explicitly name alternatives or state when not to use this tool.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools are clearly separated by resource and action, but translate_text/localize_text and prepare_compare/prepare_custom_compare have adjacent purposes that could cause an agent to choose one when the other is intended. Descriptions provide enough distinction for a careful model, so the ambiguity is limited.

Naming Consistency5/5

All 15 tools follow a consistent snake_case verb_noun pattern with verbs like build, detect, get, localize, open, prepare, run, search, transcribe, translate, and validate. There is no mixing of camelCase, vague imperative fragments, or generic action names.

Tool Count4/5

15 tools is at the upper edge of a well-scoped set, and each functional area has dedicated tools. It is slightly heavy because a few pairs like translate/localize and prepare_compare/prepare_custom_compare are close variations, but the count is still reasonable for the server's broad workspace scope.

Completeness4/5

Core workflows are covered: template search/get/fill, translation and localization, custom model capabilities/validation/run, compare plan preparation, transcription, and entitlement checks. Gaps include no compare-plan execution tool, no template create/update/delete lifecycle, and no persistence for custom model configurations, but agents can work around these.