tasks_autogen_from_entities

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 mentions that the tool 'Returns number of tasks created,' which is useful, but fails to describe other critical behaviors such as permissions needed, whether it modifies existing data, error handling, or rate limits. For a tool that creates tasks, this omission is significant and reduces transparency.

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 highly concise and front-loaded, consisting of two sentences that directly state the tool's function and return value. Every sentence earns its place by providing essential information without redundancy, making it efficient and easy to parse for an agent.

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?

Given the tool's complexity (task creation with 2 parameters), no annotations, and an output schema (which likely covers return values), the description is minimally adequate. It explains the core purpose and return, but lacks details on behavioral traits, parameter nuances, and usage context, leaving gaps that could hinder an agent's effective use.

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?

The description adds some semantic context: it explains that 'kind' defaults to 'fact' (lemmas) and implies it filters entities without tasks. However, with 0% schema description coverage and 2 parameters, it does not fully compensate by detailing the purpose or format of 'project_root' or other aspects of 'kind.' The baseline is 3 due to the schema's lack of descriptions, but the description provides only partial compensation.

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 tool's purpose: 'Create open tasks for entities of given kind that do not already have tasks.' It specifies the verb ('create'), resource ('open tasks'), and target ('entities of given kind'), making the intent understandable. However, it does not explicitly differentiate this tool from its siblings like 'tasks_list' or 'tasks_upsert', which slightly limits its clarity in a broader context.

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 usage by mentioning 'entities of given kind that do not already have tasks,' suggesting it should be used to generate tasks for untasked entities. However, it lacks explicit guidance on when to use this tool versus alternatives like 'tasks_upsert' or 'tasks_list,' and does not specify prerequisites or exclusions, leaving some ambiguity for the agent.

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