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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

search_messages

Searches Google Chat spaces for messages matching a text query, returning formatted results.

Instructions

Searches for messages in Google Chat spaces by text content.

Returns: str: A formatted list of messages matching the search query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
queryYes
space_idNo
page_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the return type (formatted list) but omits traits like pagination, rate limits, authentication needs, or behavior when no results found.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences, front-loading the main purpose. However, it sacrifices necessary detail for brevity, making it slightly too sparse for a complete understanding.

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?

Given the tool has 4 parameters, no annotations, and the output is a formatted list, the description lacks details on pagination, filtering by space, and authentication. It is incomplete for an agent to correctly invoke the tool without additional knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameter meanings. It mentions 'by text content' but does not detail user_google_email (likely auth), query, space_id (space filter), or page_size (pagination). The description adds minimal value 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 it searches for messages in Google Chat spaces by text content. It uses a specific verb and resource, and implicitly distinguishes from sibling tools like search_gmail_messages by specifying 'in Google Chat spaces'.

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 provides no guidance on when to use this tool versus alternatives like search_gmail_messages, search_docs, or search_drive_files. It does not mention prerequisites or exclusion scenarios.

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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