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BACH-AI-Tools

Twitter Api45 MCP Server

user_replies

Retrieve a user's Twitter replies to analyze conversations, track engagement, or monitor interactions on the platform.

Instructions

Gets user's replies of the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
screennameYesExample value:
cursorNoExample value:
Behavior1/5

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

No annotations are provided, yet the description discloses no behavioral traits. It fails to mention pagination behavior (despite having a 'cursor' parameter), rate limits, authentication requirements, or the structure/format of the returned replies.

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

Conciseness2/5

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

While brief at one sentence, the description is not well-structured. The phrase 'user's replies of the user' is redundant and confusing. The sentence fails to front-load critical distinctions or value, making it inefficient despite its brevity.

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 the absence of an output schema and the presence of two parameters with empty placeholder descriptions, the description is inadequate. It omits expected return value information, pagination details, and how this tool filters results relative to the user's other content.

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 context signals indicate 100% schema description coverage (both parameters have description fields), establishing a baseline of 3. However, the description text itself adds no parameter semantics—such as explaining that 'screenname' identifies the target user or that 'cursor' is for pagination—relying entirely on the schema's placeholder 'Example value:' strings.

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

Purpose2/5

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

The description 'Gets user's replies of the user' is tautological and awkwardly phrased. It implies retrieval of replies associated with a user but fails to clarify whether these are replies BY the user or TO the user, and does not differentiate from siblings like 'latest_replies' or 'user_timeline'.

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

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. The description does not indicate when to use this tool versus alternatives such as 'user_timeline' (which gets original posts) or 'latest_replies' (which may get recent replies regardless of user), nor does it mention prerequisites like requiring a valid screenname format.

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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