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Quantral Stock Sentiment

Stories

get_stories
Read-onlyIdempotent

Returns the stories Quantral wrote about what people are posting: short summaries of a burst of chatter around one company or a pair of companies, refreshed every two hours. Each story has a headline, a two to three sentence summary, a kind, the companies, the most active authors, the post and source counts and a link. Kind is computed from the posts: New (no chatter in the week before), Divided (both positive and negative posts at 35% or more), Rising (half the posts in the last six hours) or Trending. Without a week, returns this week's stories, the current ones first. With a week, returns the stories of the Monday to Sunday week holding that date, newest first. Stories summarise chatter; they are not news reports or investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weekNoAny date (YYYY-MM-DD) in the week to return. When absent, the current week.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds substantial context beyond that: two-hour refresh cadence, the exact fields each story carries, the ordering rules for both branches, and the semantic caveat that stories are not news or investment advice.

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 what the tool returns, then parameter behavior, then a caveat. The enumeration of story fields is dense but earns its place since there is no output schema. A slightly tighter phrasing of the kind definitions could trim a few words without losing meaning.

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 compensates well by listing the returned fields, the kind taxonomy, and the ordering semantics. It is complete enough to invoke correctly; only the relationship to the singular get_story sibling is left unaddressed.

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?

Schema coverage is 100%, so the baseline is 3, but the description goes further by defining the week boundary (Monday to Sunday), stating that any date within the week is acceptable, and specifying the sort order for each case. That meaning is not present in the schema's one-line parameter note.

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?

States a specific verb and resource ('Returns the stories Quantral wrote about what people are posting') and defines what a story is, including its composition and refresh cadence. It does not explicitly distinguish itself from the sibling get_story (singular), leaving the batch-vs-single relationship to be inferred from the plural name.

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?

It clearly explains how the optional 'week' parameter selects a result set, which is effectively usage guidance for the one input. However, it never says when to reach for this tool versus get_story or get_company_recaps, and gives no exclusions or prerequisites.

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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