kaiten_get_all_space_activity

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

No annotations are provided, so the description carries the full burden. It discloses automatic pagination, a concrete safety limit ('50 pages (5000 events)'), and the efficiency tradeoff versus per-card calls. What is missing is a description of the response shape or payload structure, since there is no output schema to fall back on.

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?

Four dense sentences with no filler: purpose and pagination up front, actions guidance, safety limit, and the efficiency rationale. Every sentence earns its place and is ordered from 'what it does' to 'when to use it'.

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 9-parameter tool with no output schema and no annotations, the description covers purpose, pagination behavior, safety limits, and a common use case. It does not explain the return format (mport, since there is no output schema) and one could argue it is light on failure/rate-limmit behavior, but the core selection-and-invocation decisions an agent needs are well supported.

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 100%, so all 9 parameters are already documented in the schema; the description adds only modest extra meaning. The 'complete card flow history' actions example adds contextual value beyond the flat list in the schema, and the safety-limit mention reinforces max_pages. This is a solid baseline-3 contribution rather than a meaningful layer of new semantic.

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 opening sentence 'Fetch ALL activity for a space with automatic pagination' states a specific verb, resource, and key behavioral trait (automatic pagination). The final sentence explicitly contrasts it with per-card requests, distinguishing it from siblings like kaiten_get_card_activity and kaiten_get_space_activity. An agent can confidently identify what this tool does and what it is not.

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 gives explicit guidance on when to use this tool: 'the EFFICIENT way to get location history for all cards in a space', and names the alternative ('hundreds of individual card requests'). It also prescribes a specific actions value for a common use case. However, it does not explicitly address when NOT to use it or how it differs from the similarly named kaiten_get_space_activity sibling, so it stops just short of full exclusion guidance.

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