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lobster-kit

mcp-server-lobstermail

by lobster-kit

Search Emails

search_emails

Search all inboxes by keyword to find specific emails, optionally filtering by sender, date, direction, or attachments.

Instructions

Search emails across all inboxes by keyword. Matches against subject, sender address, and body preview. Optionally scope to a single inbox or filter by sender, direction, date, or attachments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromNoFilter by sender address (partial match)
limitNoMax results (1-50, default 20)
queryYesSearch query (e.g. "invoice", "verification code")
sinceNoOnly emails after this ISO 8601 date
untilNoOnly emails before this ISO 8601 date
inbox_idNoScope search to a specific inbox ID
directionNoFilter by email direction
has_attachmentsNoFilter by attachment presence
Behavior3/5

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

With no annotations, the description partially covers behavior (matches on subject, sender, body preview; optional filters). However, it omits important traits like pagination, result ordering, return format (likely metadata only), or performance implications.

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?

Two sentences with no redundancy. Core operation stated first, optional filters listed second. Every word earns its place.

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?

Given 8 parameters and no output schema, the description should explain return format, pagination, or empty result behavior. It mentions 'body preview' but doesn't clarify output structure, leaving gaps.

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%, providing baseline 3. The description adds value by summarizing filter capabilities and mentioning body preview matching, which goes beyond schema descriptions.

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 searches emails by keyword across inboxes, specifying match fields (subject, sender, body preview). It distinguishes from sibling tools like get_email or list_inboxes by focusing on cross-inbox keyword search.

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?

While the description implies usage for content-based search, it does not explicitly differentiate when to use this tool versus alternatives like get_email (for known IDs) or wait_for_email (for polling). No when-not-to-use guidance is provided.

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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