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singular-mcp-server

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Register a data-stream private token

singular_register_data_stream

Securely store a private data stream token under a friendly alias for later use by push_datastream.

Instructions

Store a data stream's PRIVATE token under an alias so push_datastream can reference it by name (the raw token is never echoed back). Create the stream and get its private token from the Dashboard → Data Stream Manager.

Args: alias; privateToken; response_format. Returns { alias }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aliasYesFriendly name to reference this stream, e.g. 'match-scores'.
privateTokenYesThe stream's PRIVATE token (secret) from Data Stream Manager.
response_formatNoOutput format: 'markdown' (human-readable) or 'json' (machine-readable). Default 'markdown'.markdown
Behavior3/5

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

Annotations are all false, leaving behavioral disclosure to the description. The description mentions that the raw token is never echoed back and returns only the alias. However, it does not state whether storing the token overwrites an existing alias or any other side effects, which leaves gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise with three sentences: main purpose, prerequisite/lifecycle, and args/returns. It is front-loaded with the key concept and has no wasted words.

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

Completeness4/5

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

Given the tool has only 3 parameters, no nested objects, and no output schema, the description covers the essential lifecycle (getting token from Dashboard, using with push_datastream) and return value. It does not explain error handling or alias uniqueness, but the tool is simple enough that these are minor omissions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents each parameter. The description adds minimal extra meaning beyond listing the args (e.g., alias, privateToken, response_format) and stating the return value. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool stores a private token under an alias for use by push_datastream. It specifies the verb 'store' and resource 'data stream private token', and distinguishes it from the sibling push_datastream by explaining the token is never echoed back.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit prerequisite steps ('Create the stream and get its private token from the Dashboard → Data Stream Manager') and explains the token is used by push_datastream. It lacks explicit when-not-to-use or alternatives, but the context is clear and helpful.

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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