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get_treasury_history

The treasury's value over time: per-sample total USD and the balance and USD value of gold, the S&P 500 and US treasuries. Samples are spread evenly across the WHOLE requested window rather than taken from its most recent end, so a 90-day request describes 90 days rather than the newest slice of them. THE tool for reasoning about trend instead of a single moment. Descriptive history of what was held and what it was worth; never a projection. Read-only.

Input Schema

NameRequiredDescriptionDefault
daysNoWindow length in days (default 30, max 365).
pointsNoHow many samples to return across that window (default 60, max 200).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it declares read-only, clarifies it is descriptive history 'never a projection,' and explains the even-spread sampling semantics that materially affect interpretation. It omits auth/permission requirements and any rate or size caveats, keeping it from a 5.

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

Conciseness4/5

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

Front-loaded with the payload contents, then sampling behavior, then the trend framing and read-only caveat. Efficient overall, though the all-caps emphasis and some restatement ('what was held and what it was worth') add slight redundancy.

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?

Only 2 optional params, no output schema, and no annotations, so the description must establish return shape and safety — which it does (field list, sampling, read-only). It is nearly complete, with only minor gaps around response envelope or pagination limits.

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 coverage is 100%, so defaults, min/max, and meanings for days and points are already documented in the schema. The description's sampling explanation reinforces how points are distributed across days but adds no syntax or format detail beyond that. Baseline 3 applies.

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?

States a specific resource (treasury history) and enumerates the returned fields: per-sample total USD plus gold, S&P 500, and US treasuries balances/values. This distinguishes it from point-in-time siblings like get_treasury_stats without needing to open either schema.

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?

Explicitly frames itself as 'THE tool for reasoning about trend instead of a single moment,' which signals the when-to-use condition against snapshot alternatives. It does not name the alternative tool or state exclusions, so it stops short of a 5.

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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