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Translate Profile

get_v1_1_TranslateProfile

Translate Profile Group: User. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
languageNoLanguage code

Schema Changelog

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

  1. First observed

TDQS

C2.1/5.0
Behavior2/5

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

With no annotations present, the description takes on full disclosure responsibility. It only notes 'Billing per call: 1 Credits,' which adds a small cost-related behavior but says nothing about side effects, return values, or operational traits. This is minimal and does not adequately inform an agent about the tool's behavior.

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 very short and front-loaded, but it sacrifices clarity for brevity. It consists of two sentence fragments that are not actionable. While it avoids verbosity, it also avoids providing necessary information, making it inadequate despite its size.

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 no output schema, no annotations, and sparse parameter descriptions, the tool description needed to compensate substantially, but it does not. There is no mention of return values, error cases, supported languages, or examples. The billing note is the only contextual tidbit, leaving the description incomplete for an agent to use this tool correctly.

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 coverage is only 50% (one of two parameters has a description), and the tool description contributes nothing to explain the 'id' or 'language' parameters. The 'id' lacks any description in the schema, and the description does not compensate. The agent is left to guess the meaning and format of half the parameters.

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 'Translate Profile Group: User' merely restates the tool name and adds an ambiguous 'Group: User' label, failing to clearly define the tool's function. It does not mention translating a user's profile into a destination language, which is the apparent purpose given the parameters. This falls closer to tautology than to a specific, clarifying statement.

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 like get_v1_1_TranslateTweet or other siblings. There is no mention of scenarios, exclusions, or comparisons. The description offers no contextual help for an agent deciding between tools.

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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