task_accept

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 states the action ('accept delegation offer') but doesn't describe what happens after acceptance (e.g., changes to task status, permissions, or side effects). For a mutation tool with zero annotation coverage, this is a significant gap in 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 a single, efficient sentence in Indonesian that directly states the tool's purpose. It's appropriately sized and front-loaded with no wasted words, though it could benefit from more detail given the complexity of the operation.

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 (a mutation with no annotations, 0% schema coverage, and an output schema that isn't described), the description is incomplete. It doesn't explain parameters, behavioral outcomes, or usage context, leaving significant gaps for an AI agent to understand how to invoke it correctly.

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 compensate by explaining parameters. It mentions no parameters at all, even though the input schema requires 'task_id' and includes an optional 'reason' (which seems misaligned with 'accept' based on its description for reject/defer). The description adds no semantic value beyond the schema, failing to address the parameter gap.

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 'Terima delegation offer yang ditujukan ke agent ini' (Accept delegation offer addressed to this agent) states a clear verb ('accept') and resource ('delegation offer'), but it's somewhat vague about what 'accepting' entails operationally. It doesn't distinguish this tool from its siblings like task_reject or task_defer, which handle similar delegation offers differently.

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 like task_reject or task_defer, nor does it mention prerequisites (e.g., that a delegation offer must exist). It implies usage only by stating it's for offers 'addressed to this agent,' but this is minimal context without explicit when/when-not instructions.

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