Skip to main content
Glama

Trandence Trading Journal

Risk context for a day

get_risk_context

The trader's own risk settings for a given day: daily stop loss, their risk matrix, and self-reported mental/physical state and market readiness. Use it to judge whether a day was traded within their stated limits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDay to inspect (YYYY-MM-DD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool returns risk settings and self-reported state, and implies a read-only operation. However, it doesn't describe what happens if no data exists for the date, whether the risk matrix is structured or freeform, or any authentication/authorization nuances. It's adequate but not rich.

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?

Two sentences, front-loaded with the core resource and components, followed by a clear use-case statement. Every sentence earns its place; no fluff or repetition of the schema.

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

Completeness4/5

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

For a single-parameter read tool with no output schema, the description is nearly complete. It explains what data is returned and why an agent would use it. The only missing piece is behavior for missing data or edge cases, but given the simplicity, this is a minor gap.

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 schema already documents the single 'date' parameter with format and description. The description adds context about what the date represents (a trading day) but doesn't add new parameter-level semantics beyond the schema. Baseline 3 is appropriate.

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 the tool returns the trader's own risk settings for a given day, listing specific components (daily stop loss, risk matrix, self-reported state/readiness). It also explains the intended use case (judging whether a day was traded within stated limits), which distinguishes it from sibling tools like get_daily_breakdown or get_performance_summary.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: when you need to assess whether a day was traded within the trader's stated risk limits. It doesn't explicitly name alternatives or exclusions, but the purpose is specific enough that an agent can infer when to choose it over siblings. A small gap is not mentioning when NOT to use it (e.g., for performance metrics).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources