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Get Schema Drift Report

get_schema_drift_report
Read-only

Get what a monitor's schema validation found: per check whether it passed, and the drift items with their JSON path, severity, expected and actual value. Only returns something for monitors with schema validation on — see manage_drift_watch. Requires project context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoOnly checks at or before this UTC timestamp (ISO 8601)
fromNoOnly checks at or after this UTC timestamp (ISO 8601)
takeNoMaximum number of checks to report on, defaults to 50
monitorIdYesPublic ID (GUID) of the monitor, from list_monitors

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The readOnlyHint annotation is consistent with the description, and the description adds useful behavioral detail: it clarifies that the tool returns per-check pass/fail status and drift details, and that empty results are possible when schema validation is off. No destructive side effects are implied or hidden.

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?

The description is only two sentences and front-loads the core purpose. It packs the output contents, return condition, and prerequisite into a compact form without redundant phrasing or unnecessary detail.

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?

Given the lack of an output schema, the description compensates by summarizing the return shape (per-check status and drift item fields) and by stating the key precondition (schema validation must be enabled). It could mention the relationship to check_schema_drift more explicitly, but it is sufficiently complete for correct invocation.

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 schema already covers all parameters with clear descriptions, including monitorId's source ('from list_monitors') and the meaning of to/from/take. The description adds little beyond the schema, so it meets the baseline but does not elevate parameter understanding further.

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 opens with a specific verb and resource: 'Get what a monitor's schema validation found', and then enumerates the exact output components (per-check pass status, drift items, JSON path, severity, expected/actual value). This makes the tool's purpose unmistakable and distinct from generic report or monitor list tools.

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?

It provides some usage context by noting that results are only returned when schema validation is enabled and that project context is required, and it points to manage_drift_watch for enabling the feature. However, it does not explicitly contrast with the sibling check_schema_drift or list_monitor_checks, so an agent might need to infer when this report tool should be preferred.

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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