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isitdeprecated

by com.isitdeprecated
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Server Details

Check if an AI model is deprecated, retiring, or silently changed price or context window.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A3.9/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clear, distinct purpose: check_model for a single identifier, check_models for batch auditing, recent_changes for historical breaking changes, and upcoming_retirements for future scheduled retirements. The descriptions reinforce the boundary between singular/plural and past/future, leaving no ambiguity.

Naming Consistency3/5

Tool names are all snake_case and readable, but the pattern is mixed: 'check_model' and 'check_models' follow a verb_noun imperative style, while 'recent_changes' and 'upcoming_retirements' are descriptive noun phrases with no verb. The inconsistency in grammatical form prevents a higher score.

Tool Count5/5

Four tools is a well-scoped size for a deprecation-checking server. Each tool covers a distinct need (single lookup, batch lookup, recent activity, future events) without unnecessary redundancy or missing core functionality.

Completeness5/5

The tool surface covers the full lifecycle of deprecation awareness: checking individual models, auditing multiple at once, seeing what has already changed, and planning for upcoming retirements. There are no obvious dead ends or missing operations for the stated purpose.

Available Tools

4 tools
check_modelAInspect

Check whether an AI model identifier is deprecated, retiring, or has silently changed (price, context window, capabilities). Accepts any spelling a provider or SDK uses, e.g. 'gpt-4-turbo', 'azure/gpt-4.1-mini', 'claude-opus-4-1-20250805'. Call this before writing a model identifier into code.

Inputs: model (required).

check_modelsAInspect

Check many model identifiers at once and report which are retired or scheduled for retirement. Use when auditing a codebase or config.

Inputs: models (required).

recent_changesBInspect

Recent breaking changes across AI model APIs: price moves, context-window cuts, removed capabilities, removals. One entry per real upstream change.

Inputs: limit, min_severity.

upcoming_retirementsAInspect

List models with an announced retirement date inside a horizon, soonest first.

Inputs: within_days.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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