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sieve-mcp-server

sieve-mcp-server

Official

sieve_get_capabilities

Check supported Sieve extensions and verify account connectivity before writing scripts that require them.

Instructions

Connect, log in, and return the server's capabilities — most importantly sieveExtensions, the Sieve extensions this server supports (e.g. fileinto, imap4flags, vacation, regex, variables, date). Check this before writing a script that requires an extension. Also the quickest way to test that an account works.

Input Schema

NameRequiredDescriptionDefault
accountIdNoAccount id, as an alternative to accountName.
accountNameNoAccount name (from sieve_list_accounts). Optional when only one account is configured.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden and discloses that the tool connects and logs in, returns server capabilities, and doubles as a connection/account test. It still omits error behavior or auth failure details, but adds meaningful behavioral context beyond the schema.

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 front-loaded with the main action and key return field, then adds two tightly relevant usage notes. Every sentence adds value with no filler.

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 tool with no output schema, the description explains the important return value (`sieveExtensions`) and why to use it. It could say more about other capability fields or account scoping, but it is sufficient to call and interpret the tool correctly.

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 100%, so the two account parameters are already well documented in the schema. The description adds no parameter meaning or selection guidance, which matches the baseline 3 for high-coverage schemas.

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 states a specific action (connect, log in, return capabilities) and identifies the key resource (`sieveExtensions` with concrete examples). It makes the tool's distinct purpose obvious relative to siblings like script-writing or account-management tools.

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?

It gives clear usage contexts: check before writing a script that `require`s an extension, and use it as the quickest account test. It does not explicitly name alternatives or when-not conditions, which keeps it below a 5.

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