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

The description adds meaningful behavior beyond the annotations: add is capped at 12 topics, omitted keywords are auto-proposed, update with is_active:false keeps a topic but stops using it, remove deletes it, and suggest generates KB-grounded ideas distinct from existing topics. This aligns with destructiveHint=true and enriches the agent's understanding of mutation semantics.

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 packs all five actions and their semantics into one dense paragraph without significant fluff. The 'FREE.' tag is slightly extraneous, and the long semicolon-separated sentence could be more scannable, but the content is appropriately sized for the tool's complexity.

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 tool with no output schema and a destructiveHint, the description covers the operational modes, limits, pause-versus-delete distinction, and the suggest workflow well enough for an agent to select and invoke it correctly. It does not describe response shapes or mention space_id, but required parameters are already documented in the schema.

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 coverage is high at 75%, but the description adds the missing action-to-parameter mapping: add uses topics, update uses topic_id/keywords/search_context/is_active, and remove uses topic_id. It also reveals behavior not present in the schema, such as keywords being proposed when omitted, so it meaningfully supplements the parameter definitions.

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 clearly identifies the resource being managed ('the inventory of aspects a brand talks about') and enumerates five concrete actions with distinct effects. This makes the tool's purpose unambiguous and distinguishes it from sibling tools that operate on campaigns, posts, or research.

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?

Each action is mapped to a specific use case: list reads, add appends, update edits or pauses, remove deletes, and suggest brainstorms new ideas. It even gives workflow guidance for suggest ('put them to the user, then add the keepers'). It does not explicitly state when not to use the tool or name sibling alternatives, so it falls just short of a 5.

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