Auto Complete
get_AutoCompleteAuto Complete Group: Explore. Billing per call: 1 Credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
get_AutoCompleteAuto Complete Group: Explore. Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions billing per call; it does not disclose whether the operation is read-only, what the response looks like, whether there are side effects, or any other behavioral characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but this is under-specification rather than effective conciseness. 'Auto Complete Group: Explore' and 'Billing per call: 1 Credits' consume space that could have been used for a functional explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter autocomplete tool with no annotations or output schema, the description is far too minimal to be complete. It leaves the agent without a clear understanding of what the tool returns, when to use it, or how it differs from similar sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides a title 'Search query' and example 'Elon' for the single parameter q, but the description adds no parameter semantics. With schema description coverage at 0%, the description was expected to compensate, but it does not mention q or its meaning at all.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states only 'Auto Complete Group: Explore' and billing information, with no verb or functional statement explaining what the tool does. The name and title imply autocomplete functionality, but the description itself is essentially a restatement of the title and does not distinguish it from siblings like get_Search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. 'Group: Explore' is a vague categorization, and no sibling tools or alternative approaches are mentioned, so the agent receives no decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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 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.
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.
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.