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market-data

get_context

Context series: fear_greed_1d, VIX_1d, DXY_1d, TNX_1d, DJI_1d.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNo
startNo
seriesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.5/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only enumerates series names and says nothing about read-only behavior, return format, effects of start/end parameters, or any other operational characteristics. The tool's behavior is completely opaque.

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 extremely short, but this is under-specification rather than conciseness. It is a fragment with no structure or explanation, sacrificing essential information for brevity.

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?

With 3 parameters, no annotations, no output schema, and only a bare list of series, the tool is severely underdocumented. An agent would have no idea what the tool does, how to use its parameters, or what to expect as a response. This is far below a minimally viable description.

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 schema has 0% description coverage, so the description must compensate. It minimally helps by listing likely valid values for the 'series' parameter, but it never explicitly ties the list to that parameter. The 'start' and 'end' parameters are left entirely unexplained, leaving a significant semantic gap.

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

Purpose2/5

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

The description is a noun phrase: 'Context series: fear_greed_1d, VIX_1d, DXY_1d, TNX_1d, DJI_1d.' It lacks a verb and never states what the tool actually does with these series. While it lists specific series identifiers, the function remains ambiguous—it could be retrieving, defining, or listing them. This is slightly more than a tautology but far from a clear purpose statement.

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

Usage Guidelines1/5

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 sibling tools like get_market_pulse or get_bars. There is no mention of use cases, prerequisites, or context in which this tool is appropriate. The description offers zero direction for tool selection.

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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