get_fundamentals_meta
Fetches fundamental meta data for companies, enabling financial analysis and informed investment decisions.
Instructions
Fetches fundamental meta data for companies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Fetches fundamental meta data for companies, enabling financial analysis and informed investment decisions.
Fetches fundamental meta data for companies.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only says 'fetches,' implying a read operation, but provides no details on side effects, permissions, rate limits, or return format. This is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence with no wasted words. It is front-loaded with the action and subject. However, it is slightly vague ('meta data') and could benefit from a clarifying phrase, so it doesn't earn a 5.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description should explain what the tool returns and how it relates to siblings. It does neither, leaving the agent with incomplete information about the tool's purpose and output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the schema coverage is trivially 100%. The baseline for no parameters is 4, and the description adds no unnecessary parameter details since there are none to document.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool fetches fundamental meta data for companies, with a specific verb and resource. However, it does not distinguish this from sibling tools like get_fundamentals_statements or get_fundamentals_definitions, so it misses the top score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. There is no mention of typical scenarios, prerequisites, or exclusions, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/matteoantoci/mcp-tiingo'
If you have feedback or need assistance with the MCP directory API, please join our Discord server