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Stop an A2A alert endpoint

stop_monitor_a2a_endpoint
Idempotent

Idempotently stops an account-owned endpoint and cancels only its unsent deliveries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointIdYes

Schema Changelog

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

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide idempotentHint=true and destructiveHint=false, but the description adds meaningful behavior beyond those hints by specifying that only unsent deliveries are cancelled and that the endpoint must be account-owned. This clarifies the side-effect boundary in a way the schema and annotations alone do not.

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 a single, front-loaded sentence with no filler. Every phrase adds value: idempotency, ownership, the stopping action, and the cancellation scope are all expressed in eleven words.

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?

For a simple one-parameter mutation tool with no output schema, the description covers the essential context: what is stopped, who owns it, idempotency, and exactly which deliveries are affected. It does not detail response behavior or explicitly state that already-sent deliveries are preserved, but the 'only unsent' phrasing sufficiently implies this.

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?

Schema description coverage is 0%, so the description carries the burden of explaining the parameter's meaning. It does this indirectly by describing the target as an 'account-owned endpoint' and referencing 'its unsent deliveries', which adds semantic context to endpointId. However, it never explicitly names endpointId or states it is the identifier of the endpoint to stop, leaving some inference required.

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 identifies a specific action ('stops'), a specific resource ('account-owned endpoint'), and a precise behavioral scope ('cancels only its unsent deliveries'). It clearly distinguishes this from sibling tools that create, register, verify, or list endpoints.

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 provides clear context for when to use the tool: when an account-owned endpoint needs to be stopped. The 'only its unsent deliveries' clause also sets an explicit boundary about what will and will not be affected, though no alternative sibling tool is named.

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

A3.8/5.0
Disambiguation5/5

Each tool pairs a single verb with a distinct resource or action, and descriptions explicitly separate state-changing, state-free, verification, and list/get operations. Even similar tools like the two challenge creators are clearly differentiated by challenge type (DNS TXT vs endpoint), so misselection is unlikely.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using clear verbs like create, get, list, register, stop, update, and verify. The monitor_ prefix is used uniformly for monitor-related resources, while distinct domains such as risk and capabilities have their own readable nouns.

Tool Count4/5

At 17 tools, the set is slightly heavier than the typical well-scoped range, but each tool covers a distinct operation across subscriptions, endpoints, alerts, policy evaluation, and risk verification. The count is reasonable given the breadth of the platform.

Completeness3/5

Core read and write operations exist for subscriptions, endpoints, and alerts, but lifecycle coverage has notable gaps: there is no endpoint get/update/delete, no subscription activation/resume, and no way to enable delivery after verification. Several workflows end at stopped or pending states unless external actions occur.

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