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as-j

Fastmail MCP Server

by as-j

test_bulk_operations

Perform safe verification of bulk email operations by testing on recent inbox messages. Optionally use dry-run mode to preview actions without applying changes.

Instructions

Test bulk email actions against recent inbox messages, optionally as a dry run. Use only for safe operational verification of bulk email tooling. Do not use for normal user-facing mailbox tasks; use the actual bulk tools instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true, only shows what would be done without making changes (default: true)
limitNoNumber of emails to test with (default: 3, max: 10)
Behavior4/5

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

Annotations indicate it is not read-only (readOnlyHint: false) but also not destructive (destructiveHint: false). The description adds clarity by stating it is a test tool and can be run as a dry run, explaining what can be expected. No contradiction with annotations.

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?

Three sentences with no wasted words. First sentence states purpose, second and third provide usage guidelines. Every sentence earns its place.

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?

Given the two parameters are well-described in the schema, annotations are present, and the tool is a test tool with clear scope, the description provides complete context for an agent to decide when and how to use it.

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 coverage is 100% with descriptions for both parameters (dryRun, limit). The description mentions 'optionally as a dry run' which aligns with dryRun, but does not add significant new semantics 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?

The description clearly states 'Test bulk email actions against recent inbox messages', specifying the verb and resource. It distinguishes itself from sibling tools like bulk_add_labels by emphasizing it is for testing, not production use.

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?

It explicitly says 'Use only for safe operational verification... Do not use for normal user-facing mailbox tasks; use the actual bulk tools instead.' This provides clear when-to-use, when-not-to-use, and names alternatives.

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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