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stocks_search_symbol

Search for a stock ticker symbol based on company name or keywords. Returns the matching ticker.

Instructions

Search for a stock ticker symbol

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • server.js:82-82 (registration)
    Registration of the stocks_search_symbol tool in the TOOLS array
    ["stocks_search_symbol", "Search for a stock ticker symbol"],
  • Generic stub handler for all tools - this is an inspection stub; the real implementation lives in a native binary (Local MCP).
    for (const [name, desc] of TOOLS) {
      server.tool(name, desc, {}, async () => ({
        content: [{ type: "text", text: "This is an inspection stub. Install Local MCP: npx -y local-mcp@latest setup" }],
      }));
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as whether the search is case-sensitive, returns multiple results, or requires network connectivity. The lack of input schema parameters adds confusion about how the tool is invoked.

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

Conciseness2/5

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

The description is a single sentence with no wasted words, but it is under-specified and lacks structure. Conciseness is not helpful when critical information is missing.

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

Completeness1/5

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

Given no parameters, no annotations, and no output schema, the description must fully explain the tool's purpose and usage. It fails to do so, leaving the agent with insufficient context for effective invocation.

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

Parameters2/5

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

The input schema has no parameters (0 params, 100% coverage). The description does not clarify how to provide a search query, leaving the agent uninformed. With 0 parameters, the description should explain the invocation, but it fails to do so.

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

Purpose3/5

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

The description states 'Search for a stock ticker symbol', which is a verb+resource. However, it is vague about how the search works (e.g., by name or partial match) and does not differentiate from sibling tools like stocks_get_chart or stocks_get_quote. It is minimally viable but lacks specificity.

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 does not mention any prerequisites or contexts, leaving the agent without direction on when to invoke it.

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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