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Statesman MCP Server

Statesman MCP Server

by leouofa
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_platform_status

Check overall platform health, catalog entity counts, embedding coverage, and active LLM configuration to verify system readiness and diagnose coverage gaps.

Instructions

Get overall platform health, catalog entity counts, embedding coverage stats, and active LLM configuration.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_platform_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden; it partially meets it by disclosing the four categories of information returned, which signals a read-only aggregate. It does not say whether the call is expensive, cached, or permission-gated, and the cost of an all-in-one status read is not indicated.

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?

A single sentence that front-loads the primary purpose and then lists the payload components in order of likely interest. No filler, no restatement of the tool name.

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?

With no output schema, the description must characterize the return value, and it does so by naming the four data groups an agent will receive. For a zero-parameter read tool this is largely sufficient, though it omits any hint of response shape or relative cost.

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?

The tool takes zero parameters, which is the baseline-4 case per the rubric. Nothing in the description misdescribes the empty input object.

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?

A specific verb ('Get') and resource ('platform status'), followed by an enumeration of exactly what is returned: platform health, catalog entity counts, embedding coverage, LLM configuration. An agent can distinguish this overview tool from narrower readers like get_settings or get_job_status without opening the schema.

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?

Usage is only implied by the word 'overall' -- an agent can infer this is the broad orientation/diagnostic call, but the description never states when to prefer it over get_settings, get_job_status, or get_report_summary, and gives no prerequisites or exclusions.

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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