join_slack_channel

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 does add one useful behavioral trait: the join is specifically for reading history ('so the bot can read its history'), which is valuable context. However, it doesn't disclose side effects (e.g., joining is permanent, does it appear as a member?), prerequisites (channel must be public, bot needs permission), or error conditions. The mention of 'public' is a meaningful constraint disclosed.

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?

Single sentence, front-loaded with the action, zero filler words. Every word ('Join', 'public', 'Slack channel', 'so the bot can read its history') earns its place. Highly efficient.

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?

This is a simple side-effect action (joining a channel) with an output schema present and 100% parameter coverage. The description adequately conveys what it does, for what purpose, and the public-channel constraint. Given the tool's simplicity and good schema/annotations, the description is fairly complete. It could note error conditions or permissions, but for a straightforward join action this is reasonably complete.

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 100%, so the schema already documents both parameters (channel_id and account_id). The description adds the 'public' qualifier context and 'read its history' purpose, but doesn't add syntax/format details about channel_id beyond what the schema provides nor explain the default account_id behavior. Baseline 3 is appropriate when schema does the heavy lifting.

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 uses a specific verb+resource ('Join a public Slack channel') and adds the purpose ('so the bot can read its history'). This clearly distinguishes it from siblings like list_slack_channels (listing) and get_slack_channel_history (reading history of an already-joined channel).

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 description implies the purpose (reading history) which hints at when to use it, but provides no explicit when-to-use vs alternatives guidance, no exclusion criteria, and doesn't mention that only public channels can be joined or how it relates to get_slack_channel_history. Usage is implied rather than stated.

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