Skip to main content
Glama
sipyourdrink-ltd

Bernstein - Multi-agent orchestration

bernstein_status

Retrieve a summary of task counts from the Bernstein server, showing totals and per-role breakdowns for open, claimed, done, and failed tasks.

Instructions

Return a summary of all task counts from the Bernstein server.

Returns: JSON with total, open, claimed, done, failed counts plus a per-role breakdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so the description carries full weight. It states the output structure but does not explicitly disclose behavioral aspects like read-only nature, side effects, or authentication requirements, though the return type suggests a safe query.

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 extremely concise with two sentences, front-loading the purpose and listing the return fields, with no unnecessary words.

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

Completeness5/5

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

Given zero parameters, an output schema exists, and the description fully explains the return value (all task counts and per-role breakdown), making it complete for a status tool.

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

Parameters4/5

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

With zero parameters and 100% schema coverage, the description adds value by explaining the return structure (counts and breakdown), beyond the empty schema.

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 returns a summary of task counts from the Bernstein server, specifying the exact counts (total, open, claimed, done, failed) and a per-role breakdown, distinguishing it from other tool names like bernstein_tasks or bernstein_health.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus siblings; usage is implied by the description as a summary status check, but there are no when-not-to-use or alternative recommendations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sipyourdrink-ltd/bernstein'

If you have feedback or need assistance with the MCP directory API, please join our Discord server