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mpacarroll

apple-messages-mcp-remote

by mpacarroll

search_messages

Search message content to find relevant iMessage and SMS conversations. Filter by chat ID and limit results for targeted retrieval.

Instructions

Search messages by text content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results (default 50)
queryYesText to search for in messages
chat_idNoLimit search to a specific chat

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the core function and offers no information about read-only behavior, result ordering, pagination, authentication requirements, or what happens when no matches are found.

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 a single, focused sentence with no filler or redundancy. It front-loads the core action and resource, making it easy to parse quickly.

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

Completeness2/5

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

The tool has no output schema and no annotations, so the description should provide more operational context. It does not explain whether chat_id is optional for global search, what the response looks like, or how this differs from get_chat_messages. These gaps make the description only minimally viable.

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 schema fully documents all three parameters: query, limit, and chat_id. The description itself adds no parameter-level meaning beyond what the schema already provides, warranting the baseline score.

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 clearly states the action ('Search') and the resource ('messages'), with a specific qualifier ('by text content'). It is unambiguous about what the tool does, but it does not explicitly distinguish itself from the sibling tool get_chat_messages, which also involves retrieving messages.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives like get_chat_messages or list_chats. It does not mention search scope, such as whether it searches across all chats or within a single chat, nor does it state any exclusions.

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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