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kinhunt

twitterapi-mcp

by kinhunt

create_tweet

Publish a tweet to your Twitter account (up to 280 characters), or reply to an existing tweet by providing its ID.

Instructions

Create a new tweet (requires login)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesTweet text (max 280 characters)
reply_toNoTweet ID to reply to (optional)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does state the authentication requirement and that a new tweet is created, but it does not mention side effects such as publishing the tweet publicly, rate limits, or failure/return behavior. This is a moderate disclosure, not a glaring omission.

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?

A single front-loaded sentence contains the action, target resource, and the key precondition. There is no filler or redundancy, and every word earns its place.

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

Completeness4/5

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

For a simple two-parameter create operation with a fully described schema, the description is nearly complete: it covers the action and login prerequisite. It could mention what a successful response looks like, but the absence of an output schema and simple mutation semantics make this a minor gap.

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 description coverage is 100%: the schema already documents text (max 280) and reply_to (tweet ID, optional). The description adds no parameter detail, but none is needed because the schema handles it fully, so the baseline of 3 applies.

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 names a specific action ('Create') and resource ('a new tweet'), making the tool's function unambiguous. It also notes the login precondition and is clearly distinct from the sibling read/search tools, including login_user.

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

Usage Guidelines3/5

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

The only usage guidance is the parenthetical '(requires login)', which implies the agent should authenticate first but does not explicitly name login_user or state when not to use this tool. The intended use is strongly implied by the name and purpose, but no explicit when/when-not guidance is provided.

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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