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GlacianNex

stockdata-mcp

by GlacianNex

fmp_price_target

Get analyst consensus price targets and current ratings for any stock symbol to assess market expectations and potential upside.

Instructions

Analyst price-target summary and consensus, plus the current rating snapshot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 adds some behavioral context by noting 'current' rating snapshot and 'summary and consensus', implying aggregated point-in-time data. However, it does not disclose limitations, data source, or error behavior, leaving gaps for a no-annotation 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 a single sentence that directly states the core output. It is concise, front-loaded, and contains no filler or redundant information, making it highly efficient.

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

Completeness3/5

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

Given a simple one-parameter tool with an output schema present, the description provides a basic understanding of the tool's purpose. However, it lacks usage guidance, parameter explanation, and any behavioral caveats, making it minimally adequate but not fully complete for an agent to select confidently.

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 one parameter (symbol) with 0% description coverage. The tool description does not mention the parameter at all, nor does it clarify format (e.g., ticker case, exchange suffix). Since schema coverage is low, the description should compensate but fails to do so.

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?

The description clearly identifies the resource: analyst price-target summary and consensus, plus current rating snapshot. It is specific enough to differentiate from some siblings like fmp_dividends or fmp_news, though it lacks a clear verb and could be confused with fmp_analyst_estimates or fmp_grades.

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 explicit guidance on when to use this tool versus alternatives. The description implies it provides price-target data, but among many related siblings (fmp_analyst_estimates, fmp_grades, fmp_quote), there is no direction on how to choose between them.

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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