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fastmcp-me

Telnyx MCP Server

by fastmcp-me

create_embeddings

Embed documents from a Telnyx bucket by specifying the bucket name and optional chunk size, overlap, and model to generate vector embeddings.

Instructions

Embed a bucket that containe files.

Args: bucket_name: Required. Bucket Name. The bucket must exist (string) document_chunk_size: Optional. Document Chunk Size (integer) document_chunk_overlap_size: Optional. Document Chunk Overlap Size (integer) embedding_model: Optional. Supported models (thenlper/gte-large, intfloat/multilingual-e5-large, sentence-transformers/all-mpnet-base-v2) to vectorize and embed documents. loader: Optional. (default, intercom) (string)

Agent should prefer only rely on required fields unless user explicitly provides values for optional fields.

Returns: Dict[str, Any]: Response data containing the embeddings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only mentions that the bucket must exist and that a response dict is returned. It does not describe side effects (e.g., whether embeddings are persisted), required permissions, error handling, or the nature of the 'embed' operation, leaving significant gaps in transparency.

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 follows an Args/Returns structure with clear sections, but includes a long list of optional models and an extra instruction sentence. Typos like 'containe' and 'thenlper' reduce polish, though the length is justified by the number of parameters.

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?

For a tool with a nested request object, no output schema, and no annotations, the description is incomplete. It does not explain how to pass parameters into the 'request' object, does not specify the return structure beyond 'Dict containing embeddings', and provides no error conditions or examples. The prerequisite ('bucket must exist') is stated but not elaborated.

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 description lists five parameters with types and some meaning (e.g., bucket_name, embedding_model with supported models), but the input schema only defines a single nested 'request' object. The description does not explain how these parameters map to the request structure, causing confusion about the actual invocation format. Schema coverage is 0%, so the description is the sole source, but the mismatch undermines its usefulness.

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

Purpose4/5

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

The description clearly states a specific verb ('Embed') and resource ('a bucket that contains files'), which distinguishes it from the sibling tool 'embed_url' (which embeds a URL). However, the term 'embed' is not explicitly defined, leaving some ambiguity about the exact scope and nature of the operation.

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 provides no guidance on when to use this tool versus alternatives like 'embed_url' or 'list_embedded_buckets'. The only usage-related instruction is 'Agent should prefer only rely on required fields unless user explicitly provides values for optional fields', which is about parameter handling, not tool selection.

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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