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addy-mcp

addy-mcp

bulk_alias_action

Destructive

Apply activate, deactivate, pin, unpin, delete, restore, forget, or get actions to up to 25 alias IDs at once, enabling bulk alias management in addy.io.

Instructions

Apply one action to up to 25 aliases at once (or fetch them with action='get').

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "action": "<action>",
      "alias_ids": "<alias_ids>"
    },
    "name": "bulk_alias_action"
  }
}

Input Schema

NameRequiredDescriptionDefault
actionYesWhat to do to every alias. 'forget' is permanent.
alias_idsYesAlias ids (max 25)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false and openWorldHint=true, so the safety profile is covered. The description's only additions are the batch cap and the 'get' variant, both of which restate structured data; it never says whether operations are atomic or how partial failures across 25 ids are reported. It does not contradict the annotations (the read-style 'get' action does not make it a read-only tool overall).

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?

A single sentence that leads with the core batch capability and tucks the alternative read mode into a parenthetical; nothing is wasted.

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

Completeness3/5

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

For a destructive bulk mutation across up to 25 records, the description omits partial-failure and reversibility behavior (permanence of 'forget' lives only in the schema) and gives no sense of response shape, though the absence of an output schema is a mitigating factor.

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

Parameters4/5

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

Schema coverage is 100% with an enum on action and a maxItems constraint on alias_ids, so the schema already carries the semantics. The description adds little new meaning, but it does clarify that a single action applies uniformly to every listed id, which is the correct baseline-plus behavior for a fully documented schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource with its scope: 'Apply one action to up to 25 aliases at once', plus a read variant ('fetch them with action=\'get\''). It is clear what the tool does, though it never differentiates itself from siblings like bulk_set_alias_labels or the single-alias 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 implies usage (bulk operations over alias ids, or fetching via action='get') and gives the 25-item cap, but offers no when-not-to-use guidance, no pointer to get_alias/delete_alias/forget_alias for single items, and no prerequisite or permission context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.