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Quantral Stock Sentiment

Strategies

list_strategies
Read-onlyIdempotent

Use this when the user asks what strategies or model portfolios Quantral tracks, or how they have done. Returns each strategy with how often it updates, what it holds, the live record and the hypothetical backtest as separate records, the date of the latest list and the next update. These are tracked model portfolios built by fixed rules, not recommendations or investment advice; present them as a record, never as something to buy. Returns are before trading costs. Use get_strategy for one strategy's current list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, non-destructive, so safety is covered. The description adds genuinely non-structured behavior: live records and hypothetical backtests are returned as separate records, returns are before trading costs, and outputs must be presented as a record rather than a recommendation. That presentation constraint is exactly the kind of guidance annotations cannot carry.

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?

Content is front-loaded (trigger first, then return shape, then caveats) and every clause carries information. It is somewhat long for a zero-argument list tool, but there is no filler or repetition.

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

Completeness5/5

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

There is no output schema, so the description must describe the response, and it does: per-strategy update cadence, holdings, live vs backtest records, latest list date, and next update date. Nothing an agent needs to call and interpret this tool is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing to disambiguate and the baseline is 4. The description correctly does not invent parameter semantics.

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 verb and resource: this lists the model portfolios Quantral tracks. It also names the sibling it is not (get_strategy) and the difference is explicit, so an agent can route without opening schemas.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('when the user asks what strategies or model portfolios Quantral tracks, or how they have done') and names the alternative with its selecting condition ('Use get_strategy for one strategy's current list'). When-to-use and when-not are both covered.

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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