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Glama

List Alert Policies

list_alert_policies
Read-only

List the alert policies of a project with their rules. Set includeAssignments to also get which environments, specs and monitors each policy is attached to — that is where the assignmentId for unassigning comes from. Requires project context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoPublic ID (GUID) of the project — defaults to the project in the session context
includeAssignmentsNoInclude the scope assignments of the policies

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

The readOnlyHint annotation already indicates a read-only operation, and the description reinforces this by only mentioning listing and retrieving assignments. No side effects or mutations are implied, and the description adds useful context about the includeAssignments parameter.

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 compact, using two clear sentences with no redundant information. Every phrase contributes to understanding the tool's purpose or parameter behavior.

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 simple read-only listing tool, the description provides all necessary context: the resource being listed, the optional parameters and their effects, and the prerequisite of project context. No output schema is present, but none is needed for this straightforward operation.

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?

Both parameters are described beyond the raw schema: projectId is clarified as defaulting to the session context, and includeAssignments is explained as controlling whether assignments to environments, specs, and monitors are returned. This adds meaningful usage detail.

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 clearly states the tool lists alert policies for a project, using the specific verb 'List' and identifying the resource type. It is easily distinguished from sibling tools like get_alert_policy and list_monitors.

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 notes that project context is required and explains when to set includeAssignments, including a practical hint about obtaining assignmentId for unassigning. It does not explicitly compare against every related sibling tool, but the guidance is sufficient for typical use.

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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