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googlarz

Proton Mail Bridge MCP

count_messages

Read-only

Count messages matching search criteria without downloading them, enabling you to preview search result sizes and build folder statistics efficiently.

Instructions

Count messages matching search criteria without fetching full message data. Use to check how many messages a search would return before running it, or to build folder statistics. Supports all search_emails filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
folderNoFolder to count in. Defaults to INBOX.
queryNoFree-text filter.
fromNoSender filter.
toNoFilter by recipient address.
subjectNoSubject filter.
hasAttachmentNoFilter by attachment presence.
labelNoFilter by folder label applied locally.
threadIdNoFilter by thread id, applied locally.
senderDomainNoFilter by sender domain, applied locally.
isReadNoRead status filter.
isStarredNoStarred status filter.
dateFromNoInclusive start date in ISO format.
dateToNoInclusive end date in ISO format.
sizeLargerNoOnly count messages larger than this size in bytes.
sizeSmallerNoOnly count messages smaller than this size in bytes.
Behavior4/5

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

Annotations already indicate readOnlyHint=true. The description adds that it does not fetch full message data, which is a useful behavioral trait beyond the annotation.

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 only. The first states function, the second provides usage and compatibility. Efficient and front-loaded.

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?

Given the straightforward purpose and extensive schema documentation, the description is mostly complete. It clearly indicates a count result, though no output schema exists.

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 each parameter described. The description does not add additional parameter-level meaning beyond stating it supports all search_emails filters.

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 counts messages matching search criteria without fetching full message data. It distinguishes from siblings like search_emails which retrieve message content.

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?

Explicitly says to use for checking how many messages a search would return before running it, or for folder statistics. Also mentions it supports all search_emails filters, guiding when to use it.

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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