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tangivis

twikit-mcp

by tangivis

join_community

Join a specified Twitter community by providing its community ID to become a member directly.

Instructions

Join a Twitter Community.

Args: community_id: The community ID to join.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
community_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations provided, the description carries the full transparency burden. It simply restates the tool's purpose without disclosing what actually happens on join (e.g., immediate membership vs. pending approval, idempotency, error behavior if already a member). This is a significant gap for a state-changing operation.

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

Conciseness3/5

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

The description is extremely brief (two lines), which is efficient, but it sacrifices needed detail. It is not a model of conciseness because it omits essential context that could be conveyed in a few additional sentences. The structure is clean, but the content is under-specified.

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?

While the tool has only one parameter and appears simple, the context signals reveal a complex domain with many community-related siblings (get_community, request_to_join_community, leave_community). The description fails to address idempotency, privacy implications, or the difference between public and private community joins. The presence of an output schema is not exploited; no return-value expectations are given.

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

Parameters2/5

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

Schema description coverage is 0%, but the description merely repeats 'community_id: The community ID to join' — a tautology that adds no semantic insight beyond the parameter name. No format, source, or example is given, so the agent gains no additional understanding of how to obtain or supply this ID.

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

Purpose5/5

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

The description uses a specific verb 'Join' with a clear resource 'a Twitter Community', immediately distinguishing it from siblings like leave_community and request_to_join_community. The action is unambiguous and matches the tool name exactly.

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 usage guidance is provided. There is no mention of when to use this tool versus request_to_join_community, which is a critical distinction in community join flows. The agent receives no contextual cues about prerequisites or alternative actions.

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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