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deva_messaging_reply

Send replies to specific messages in the Deva Agent ecosystem using automated payment processing for each response.

Instructions

Reply to a specific message. Pricing: 1₭ ($0.001) per reply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
message_idYesMessage id.
contentYesReply content.
Behavior2/5

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 pricing ('1₭ ($0.001) per reply'), which adds useful context about costs, but fails to describe other critical behaviors such as whether this is a read/write operation, authentication requirements, rate limits, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences that are front-loaded: the first states the core purpose, and the second adds pricing information. There's no wasted text, though the pricing detail could be considered slightly extraneous if not critical for tool selection.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this is a mutation tool (implied by 'Reply') with no annotations and no output schema, the description is incomplete. It lacks information on behavioral traits (e.g., side effects, error handling), usage context relative to siblings, and expected outputs, making it inadequate for safe and effective tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with clear parameter descriptions ('Message id.' and 'Reply content.'). The tool description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 where the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Reply') and resource ('to a specific message'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling messaging tools like 'deva_messaging_send' or 'deva_messaging_thread_get', which would require explicit comparison to achieve a score of 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. There are multiple sibling messaging tools (e.g., 'deva_messaging_send', 'deva_messaging_thread_get'), but the description doesn't explain if this is for replying within a thread, direct messages, or other contexts, leaving the agent with no usage context.

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

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