tasks_batch_update

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Update multiple tasks' implies a write/mutation operation, but the description doesn't mention permissions required, whether updates are atomic/partial, error handling for failed updates, rate limits, or what the response contains. For a batch mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 extremely concise at just 7 words, with zero wasted language. It's front-loaded with the core action ('Update multiple tasks') and adds only necessary qualification ('in a single request'). Every word earns its place in this minimal description.

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 batch mutation tool with 1 parameter (but complex nested structure), 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain the request format, response format, error conditions, or operational constraints. The agent would struggle to use this tool correctly without additional context beyond what's provided.

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%, meaning the input schema has no descriptions for its parameters. The tool description doesn't explain what the 'inputs' array should contain, the structure of task objects, or the meaning of properties like 'hs_task_priority' or 'hs_task_status'. While the schema defines the structure, the description adds no semantic context to help an agent understand how to construct valid requests.

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 states the verb ('update') and resource ('multiple tasks'), making the purpose understandable. However, it doesn't distinguish this tool from its sibling 'tasks_update' (single task update) or other batch operations like 'tasks_batch_create' and 'tasks_batch_read', which would require explicit differentiation for a perfect score.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention when batch updates are preferred over single updates (tasks_update), nor does it reference related batch operations like tasks_batch_create or tasks_batch_read. There's no information about prerequisites, constraints, or typical use cases.

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