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get_messages

Retrieve messages from Google Chat spaces to access conversation history, filter by date or thread, and organize team communications.

Instructions

Retrieves messages from a Google Chat space.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
space_idYes
page_sizeNo
order_byNocreateTime desc
message_filterNoOptional filter string using the Chat API filter syntax. Supports createTime and thread.name. Examples: 'createTime > "2026-03-18T00:00:00-03:00"' 'createTime > "2026-03-18T00:00:00-03:00" AND createTime < "2026-03-19T00:00:00-03:00"' 'thread.name = spaces/X/threads/Y'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the basic action ('Retrieves') without mentioning pagination behavior (implied by 'page_size'), rate limits, authentication requirements, error conditions, or what the output contains. This is inadequate for a tool with 5 parameters and complex filtering capabilities.

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, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a basic retrieval operation and front-loads the essential information.

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?

While the tool has an output schema (which reduces the need to describe return values), the description is incomplete for a tool with 5 parameters and no annotations. It doesn't provide necessary context about authentication, rate limits, error handling, or how to interpret the 'message_filter' parameter's complex syntax examples shown in the schema.

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 only 20%, with only 'message_filter' having a description. The tool description adds no parameter information beyond what's in the schema - it doesn't explain what 'user_google_email' or 'space_id' represent, how 'order_by' works, or the purpose of 'page_size'. The description fails to compensate for the low schema coverage.

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 ('Retrieves') and resource ('messages from a Google Chat space'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'search_messages' or 'list_spaces' that might also retrieve messages, preventing a perfect score.

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_messages' or 'list_spaces' from the sibling list. There's no mention of prerequisites, constraints, or typical use cases, leaving the agent without contextual usage information.

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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