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

readOnlyHint=true already tells the agent this is a safe read with no side effects. The description adds genuinely useful context beyond that — that accounts returns available_actions as well as metadata, and that actions_details returns exact request bodies, required identifiers, fields, time ranges and notes. It does not mention rate limits, auth requirements, or when to prefer the standalone available_actions call over the accounts response (it only notes redundancy).

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?

Numbered steps with bolded operation names front-load the sequence, and each line earns its place by stating what a mode returns. Slight redundancy in restating that available_actions is already included in the accounts response.

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 five-param dispatcher with an output schema, the description covers the sequence, the outputs of each mode, and the required pre-query step — enough for an agent to call it correctly. The only real hole is the undocumented platform parameter and no guidance on error/empty-account handling.

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%, so the description must carry the load, and it largely does: it explains the request enum values, the actions array format with a concrete example, and that brands needs brand_id + workspace_id. The platform parameter is never mentioned anywhere, leaving one of five params undocumented.

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 states this is a planning/metadata helper for Slack data queries and enumerates the four request modes with what each returns (workspace/brand metadata, available_actions, request bodies). That is a specific verb+resource picture. It never names the siblings (query_data, execute_action) to say 'this is the discovery step before those', so differentiation is implied rather than stated.

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?

Gives an explicit ordered workflow: Step 1 accounts, Step 2 actions_details, with 'REQUIRED before querying' making the dependency unambiguous, and labels available_actions/brands as optional. It stops short of naming the alternative tools an agent should call after discovery finishes.

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