slack_get_thread_replies

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

With no annotations supplied, the description carries the full burden of behavioral disclosure. It communicates a read-only 'Get' operation and describes pagination metadata and timestamp-filter behavior, but it does not mention authentication requirements, rate limits, error behavior, or side-effect caveats.

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

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

The description is front-loaded with a one-sentence purpose, followed by a tight Args block and a Returns line. There is no filler, and every line adds information not already obvious from the schema.

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

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

For a 7-parameter tool with an output schema, the description documents all parameters and the return shape including pagination metadata. It lacks broader invocation context such as error cases or prerequisites, but it is functionally complete enough for an agent to select and call the tool correctly.

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

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

Schema description coverage is 0%, and the description compensates fully. Every parameter receives plain-language meaning: channel_id prefix, thread_ts as parent timestamp, limit range and default, cursor provenance, oldest/latest semantics, and inclusive boundary behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Get replies in a Slack message thread.' It clearly identifies the tool's object (thread replies) and distinguishes it from channel history or search by naming the thread-specific resource, but it does not explicitly differentiate it from sibling tools in text.

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

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

The purpose statement and required thread_ts parameter imply the use case: fetch replies to a specific parent message. However, the description does not explicitly state when to prefer this tool over alternatives like slack_get_channel_history or slack_search_messages, nor does it provide any exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.