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AIDataNordic

Nordic Financial MCP

ping

Read-only

Confirm the Nordic MCP server process is responding. Use at the start of a session to verify server reachability before other calls.

Instructions

Connectivity check that confirms the Nordic MCP server process is responding.

Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly.

Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoArbitrary label included in the response, e.g. 'healthcheck' or 'agent-1'world

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The 'ping' tool handler function registered via @mcp.tool decorator. It accepts an optional 'name' parameter (defaults to 'world'), logs the call, and returns a greeting string confirming the server is running.
    @mcp.tool(annotations=ToolAnnotations(readOnlyHint=True))
    async def ping(name: Annotated[str, "Arbitrary label included in the response, e.g. 'healthcheck' or 'agent-1'"] = "world") -> str:
        """Connectivity check that confirms the Nordic MCP server process is responding.
    
        Use this at the start of a session to verify the server is reachable before
        making other calls. Do not use as a proxy for database health — the server can
        respond while the Qdrant vector database is temporarily unavailable. To confirm
        data availability, call search_filings directly.
    
        Returns:
            A greeting string: "Hello {name}! Nordic MCP server is running."
        """
        _log.info(f'ping name="{name}"')
        return f"Hello {name}! Nordic MCP server is running."
  • The input parameter schema for the ping tool. It accepts a single optional string parameter 'name' with a description of 'Arbitrary label included in the response, e.g. 'healthcheck' or 'agent-1'', defaulting to 'world'.
    async def ping(name: Annotated[str, "Arbitrary label included in the response, e.g. 'healthcheck' or 'agent-1'"] = "world") -> str:
  • mcp_server.py:124-124 (registration)
    The tool registration via the FastMCP 'tool' decorator. The 'ping' function is registered as an MCP tool with annotations indicating it is read-only.
    @mcp.tool(annotations=ToolAnnotations(readOnlyHint=True))
  • The FastMCP server instance creation which provides the 'mcp.tool' decorator used to register the ping tool.
    mcp = FastMCP("nordic-public-data-mcp")
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds that the response is a greeting string with the provided name. No contradictions. While it doesn't elaborate on potential non-response behavior, it is sufficient for a simple ping tool.

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 concise, front-loads the purpose, and every sentence adds value. No redundant or filler content.

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?

The description fully covers the tool's purpose, usage context, limitations, and return value. For a simple connectivity check, it is complete and leaves no gaps.

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 description coverage is 100%, so the parameter 'name' is already well-documented in the schema. The description adds no new semantic information beyond the schema, meeting the baseline expectation.

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 it is a connectivity check, and the verb 'confirm' combined with 'server process is responding' specifies the exact resource and action. It distinguishes from siblings like search_filings which test data availability.

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

Usage Guidelines5/5

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

Explicitly advises using at session start to verify reachability, warns against misuse as database proxy, and directs to search_filings for data health. Provides clear when-to-use and when-not-to-use guidance.

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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