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Bernstein - Multi-agent orchestration

Bernstein - Multi-agent orchestration

by sipyourdrink-ltd
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

bernstein_post_message

Post progress messages to a task mailbox, enabling real-time status updates for orchestrated multi-agent workflows.

Instructions

Post a progress message to a task mailbox on the Bernstein server. Host effects: makes network requests.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "task_id": "<task_id>",
      "body": "<body>",
      "sender": "<sender>"
    },
    "name": "bernstein_post_message"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes
kindNo
senderYes
task_idYes
sender_card_fingerprintNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.15.0
    • addedInput schema / description
      Added value: +"Post a progress message to a task mailbox on the Bernstein server. Host effects: makes network requests."
  2. Addedv3.11.0

TDQS

B3.1/5.0
Behavior3/5

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

The description discloses the host effect 'makes network requests', which is a useful side-effect warning in the absence of annotations. However, it does not elaborate on other behavioral traits such as idempotency, required task state, or error outcomes.

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 two sentences with the primary action front-loaded. Every phrase earns its place, making it extremely concise and easy to parse.

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?

The purpose is clear, but the description lacks usage guidelines, parameter semantics, and differentiation from sibling tools. Given the low schema coverage and absence of annotations, more context is needed for an agent to invoke this tool appropriately.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain any of the five parameters. While the schema includes constraints and an enum for 'kind', the description itself adds no meaning beyond the field names.

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 uses a specific verb ('Post') and identifies the resource ('progress message to a task mailbox on the Bernstein server'), clearly distinguishing it from sibling tools like bernstein_post_artifact. It is concise and unambiguous.

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. The description only states the action without indicating prerequisites, exclusions, or comparisons to sibling tools such as bernstein_post_artifact or bernstein_complete.

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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