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Glama

Tweet Detail & Conversation

get_v2_TweetDetail

Tweet Detail & Conversation Group: Tweet. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
cursorNoCursor for other results

Schema Changelog

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

  1. First observed

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries full behavioral disclosure burden, but it reveals nothing about behavior—no page size, thread structure, rate limits, or return semantics. The only additional fact is 'Billing per call: 1 Credits', which is minimal and not meaningful behavioral context.

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?

At one line, the description is short, but this is under-specification rather than efficiency. It contains no structured breakdown of purpose or usage, and every element (title restatement, group label, billing note) adds marginal value.

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?

With no output schema and no annotations, the description must compensate, but it fails to explain what the conversation result contains, how the cursor works, what the 'id' parameter represents beyond a title, or any pagination details. The description is inadequate for an agent to confidently invoke this tool.

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 50% (only the cursor parameter has a description). The tool description adds nothing about parameters; 'id' is documented only via title and example in the schema, and 'Conversation' in the title hints at cursor pagination but without explicit detail. The description underserves the undocumented half.

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 'Tweet Detail & Conversation Group: Tweet' essentially restates the title 'Tweet Detail & Conversation', adding only the billing group and credit cost. The name get_v2_TweetDetail implies retrieving a tweet's details and conversation, but the description lacks a clear verb and resource statement, making it nearly tautological and failing to distinguish from sibling get_v2_Tweet.

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 guidance is provided on when to use this tool versus alternatives. Given sibling get_v2_Tweet exists, the description should clarify that this tool fetches the conversation thread while the sibling fetches a single tweet, but no such differentiation or usage context is offered.

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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TDQS

D1.7/5.0
Disambiguation1/5

Several tools appear to do the same thing, such as get_v1_1_Followers vs get_v2_Followers and get_v2_Tweet vs get_v2_TweetDetail. The descriptions are too brief to clarify differences, and multiple user lookup tools (get_v1_1_Users, get_v2_UserByRestId, etc.) create confusion.

Naming Consistency2/5

Naming is inconsistent, mixing camelCase (get_ShortUrl), snake_case (get_email_search_by_username), and version prefixes with varying formats (get_v1_1 vs get_v2). No uniform verb_noun pattern is followed.

Tool Count2/5

With 32 tools, the server is overloaded, especially given many redundant variations across API versions. The count exceeds the 25-tool threshold for too many tools, and many could be consolidated.

Completeness2/5

The server is entirely read-only (all tools are GET), missing write operations like posting tweets, following users, or sending direct messages. This is a significant gap for a Twitter server, and even read coverage has redundancies rather than comprehensive distinct endpoints.

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