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get_dm_inbox

List recent direct message conversations from your X/Twitter inbox.

Instructions

Get DM inbox — list recent direct message conversations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax conversations to return (default 20).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description bears full burden but only says 'list recent direct message conversations.' It omits behavioral details like ordering (most recent first?), pagination, inclusion of group DMs, or read status. The output schema exists but is not referenced.

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

Conciseness5/5

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

The description is a single sentence with no extraneous content. It is front-loaded and efficient, earning its keep without waste.

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

Completeness3/5

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

For a simple list endpoint with an output schema, the description is minimally adequate. However, it lacks context about ordering and scope (e.g., 'returns the most recent conversations'), making it less complete for an agent unfamiliar with the domain.

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?

Schema coverage is 100% for the single parameter 'limit', which already has a description. The tool description adds no additional meaning beyond the schema, so it meets the baseline but provides no extra value.

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 'Get DM inbox — list recent direct message conversations,' which uses a specific verb and resource. It distinguishes from sibling tools like 'get_dm_conversation' (specific conversation) and 'search_dm' (searching). However, it could be more precise about scope (e.g., across all conversations).

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?

No guidance is provided on when to use this tool versus alternatives such as 'get_dm_conversation' or 'search_dm'. The description does not mention scenarios, prerequisites, or exclusions.

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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