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sendDMSMedia events.

get_base_apitools_sendDMSMedia

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ct0No
textNo
typeNo
apiKeyNo
proxyUrlNo
resFormatNo
auth_tokenNo
recipient_idNo
attachment_typeNo
quick_reply_typeNoReturns results with an ID less than (that is, older than) or equal to the specified ID.
attachment_media_idNo

Schema Changelog

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

  1. First observed

TDQS

D1.7/5.0
Behavior2/5

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

There are no annotations, so the description carries the full transparency burden. It only discloses billing cost and auth token lookup, but does not say whether the tool sends or reads data, has side effects, or how the API responds. The external link may contain details, but the MCP description itself lacks behavior disclosure.

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?

The text is short, but it relies on an external URL instead of carrying a concise functional summary. The fragments about auth retrieval and billing are loosely concatenated with line breaks and HTML, and no core explanatory sentence earns its place.

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

Completeness1/5

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

Given 11 parameters, no output schema, no annotations, and no behavioral detail, the description is radically incomplete. An agent cannot determine what the tool does, which parameters are required or how they relate, what errors may occur, or what response format to expect.

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?

The schema has 11 parameters with only about 9% meaningful coverage, and the only described parameter (quick_reply_type) actually contains a misleading copied description about IDs. The tool description mentions auth_token and ct0 but does not explain their formats or the roles of text, recipient_id, attachment_type, or attachment_media_id, leaving the agent without useful parameter semantics.

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

Purpose1/5

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

The description does not explicitly state what the tool does; it only provides an external link and repeats a phrase that is essentially the title ('sendDMSMedia events'). The agent must infer functionality from the tool name and the external Twitter API URL, rather than from any clear verb-and-resource explanation.

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?

The description gives some contextual pointers—'Group: DMS' and how to obtain auth_token/ct0—but it never explains when to use this tool instead of siblings like sendDMS, sendDMSV2, uploadMediaDM, or the POST variant of sendDMSMedia. There is no explicit guidance on when-not-to-use or alternatives.

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

D1.4/5.0
Disambiguation1/5

The set is full of confusing variants such as get_/post_ prefixed duplicates of the same endpoints, competing V1/V2 versions of the same action (e.g., followersList vs. followersListV2), and poorly described tools like CommunitiesSearchV2 and getCt0 that give no clear unique purpose. Agents would frequently need to guess between similar tools for a single task.

Naming Consistency1/5

Naming is chaotic, mixing camelCase (getDMS, likeV2), PascalCase (CreateNoteTweet, CommunitiesMemberV2), and inconsistent prefixes (gettools_*, get_*, post_*) with duplicated operations. The 'get_/post_' prefixes appear to indicate API method rather than action, but they are applied inconsistently, with some tools appearing under both and others only once. There is no predictable verb_noun pattern throughout.

Tool Count1/5

With 107 tools, the server is extremely large, far exceeding the 50+ threshold for extreme mismatch, and this count is inflated by duplicates (many get_/post_ twins) and overlapping V1/V2 variants. Even the unique tool set is likely around 60-70, which is still an unwieldy surface for an agent to negotiate. This severely disrupts coherence.

Completeness3/5

The tool set covers most core Twitter/X domains: tweets, likes, retweets, follows, DMs, search, communities, lists, and profile management. However, it is cluttered with duplicates and lacks some obvious pieces like mute/unmute operations or a direct 'update tweet' action, and several tools appear to be thin wrapper variations of the same endpoint. Coverage is broad but not cleanly organized.

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