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Check Schema Drift

check_schema_drift
Read-only

Check for schema drift between a test case's linked endpoint snapshot and the current spec. Supports two modes: single test case (provide testCaseId) or batch check for all linked test cases of a spec (provide specId). Exactly one of testCaseId or specId must be provided. Requires project context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specIdNoPublic ID (GUID) of a spec to batch-check all linked test cases (batch mode)
testCaseIdNoPublic ID (GUID) of a single test case to check for drift (single mode)
checkAgainstLinkedVersionNoIn single mode, compare against the linked spec version instead of current (default false)

Schema Changelog

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

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

The description aligns with the readOnlyHint annotation, indicating a non-destructive operation. It also transparently states the need for project context and clarifies the comparison basis (linked snapshot vs current spec), with no hidden side effects.

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 concise sentences pack the purpose, modes, constraint, and context requirement without redundancy. The structure is logically ordered and easy to parse.

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

Completeness5/5

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

For a low-complexity read-only check with no output schema, the description covers all essential aspects: what it does, how to invoke it, the required precondition, and the main constraint. No critical information is missing for an agent to use it effectively.

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

Parameters5/5

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

The input schema already provides 100% coverage with descriptions for each parameter. The description reinforces semantics by mapping each mode to the relevant parameter and explains the checkAgainstLinkedVersion option in single mode, adding clarifying context beyond the schema.

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?

Clearly states the specific action (check for schema drift), the target resource (between a test case's linked endpoint snapshot and the current spec), and distinguishes its dual modes. This differentiates it from sibling tools like get_contract_drift or list_contract_drift by focusing on test-case-linked drift.

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

Usage Guidelines5/5

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

Explicitly describes the two modes (single test case via testCaseId, batch via specId), the constraint that exactly one must be provided, and the requirement for project context. This gives unambiguous guidance on how and when to invoke the 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

A3.9/5.0
Disambiguation4/5

The tools are mostly distinct with clear descriptions. Some pairs like get_header_policies vs get_resolved_headers or get_environment_verification vs get_monitoring_sync_status could be slightly confusing, but the descriptions clarify scope and purpose.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, manage_, etc.). Even the few bare verbs like 'search' and 'set_context' are consistent with the naming scheme.

Tool Count1/5

With 165 tools, the server is extremely heavy. This far exceeds the 'too many' threshold of 25+, making it difficult for an agent to navigate and select the right tool efficiently.

Completeness5/5

The tool surface covers a very broad API lifecycle domain: specs, environments, test cases, monitors, mock servers, security, governance, documentation, and team management. Read and write operations are present across most areas, with no obvious missing core functionality.

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