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my_paper_trades

Read-only

How the person's strategies tracked live on paper are doing: each one's name, the day it went live, today's state in words, and its own change since it went live next to simply holding over the same days, in whole percents: the answer to how their strategy, their paper trade or their live test is doing. Nothing here places an order or moves money.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: it specifies the comparison baseline used ('its own change since it went live next to simply holding over the same days, in whole percents') and reinforces that no money moves, which is meaningful for a performance-reporting tool.

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

Conciseness3/5

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

The substance is good but it arrives as one long run-on sentence that restates the question three ways ('their strategy, their paper trade or their live test'). The key point about the benchmark comparison is buried mid-sentence rather than front-loaded, and the repetition of the no-money clause costs space.

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?

With no output schema, the description must carry the return-value burden, and it does: it enumerates the fields returned and explains the performance metric and its basis. It stops short of stating ordering, count limits, or what an empty result means, which leaves minor gaps for a list-style read tool.

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 and schema description coverage is 100%, so there is nothing for the description to disambiguate. Per the baseline rule, a no-parameter tool starts at 4, and nothing here misleads about inputs.

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 establishes the resource (the person's paper-traded strategies) and what is returned (name, go-live date, current state, performance vs. holding), which lets an agent distinguish it from mutation siblings like start_paper_trade. It never uses an explicit verb like 'list' or 'retrieve', relying on 'How ... are doing' to imply a read, which is slightly indirect.

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

Usage Guidelines3/5

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

Usage is only implied — an agent can infer this answers 'how are my paper trades doing', but there is no explicit when-to-use, when-not-to-use, or named alternative. The closing line 'Nothing here places an order or moves money' does steer the agent away from expecting a mutation, but it doesn't contrast with any specific sibling.

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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