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Stock Trends Market Intelligence

Construct a Stock Trends Portfolio

stocktrends_construct_portfolio
Read-only

Purchase an API-authored equal-weight analytical allocation proposal. It does not execute trades or manage assets.

Input Schema

NameRequiredDescriptionDefault
biasNoauto
countNo
exchangeNo
universeNotop

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds relevant behavioral context — that the output is an API-authored, equal-weight proposal and that no trades/assets are touched — plus an implicit cost/metering trait via 'Purchase.' However, it does not explain what 'purchase' consumes (credits? quota?) or whether calls are billable, leaving the most consequential trait underexplained.

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?

Two tight sentences, front-loaded with the core action and a scope disclaimer; little waste. The scope disclaimer is well placed, though the leading verb choice is imprecise.

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

Completeness2/5

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

For a tool with 4 undocumented parameters, no output schema, and no parameter guidance, the description is too thin. An agent cannot tell what bias/count/exchange do or what the returned proposal looks like, so it is not complete enough to invoke confidently.

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?

Schema description coverage is 0% for 4 parameters (bias, count, exchange, universe), so the description must carry the full explanatory burden. It only alludes to 'equal-weight' and never mentions bias, count, exchange, or the 'top' universe constraint, so it fails to compensate for the coverage gap.

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 gives a specific verb and resource: it produces an 'equal-weight analytical allocation proposal,' which an agent can distinguish from the evaluate_/compare_portfolios siblings that analyze rather than construct. The verb 'Purchase' is a bit confusing and inconsistent with the title's 'Construct,' but the resource and output type are clear.

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

Usage Guidelines2/5

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

There is no positive when-to-use guidance and no named alternative, despite several closely related siblings (evaluate_portfolio, compare_portfolios). The only usage-like statement is a negative: 'It does not execute trades or manage assets,' which clarifies scope but does not say when to prefer this tool.

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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