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get_recommendation_trend

Fetch analyst recommendation trends (strong buy, buy, hold, sell, strong sell) over time for any stock symbol to evaluate changing market sentiment.

Instructions

Get analyst recommendation trend (strong buy/buy/hold/sell/strong sell) by period.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesTicker, e.g. NVDA
Behavior2/5

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

No annotations are present, so the description carries the full burden. It does not clarify what 'by period' means, whether the result is a historical series or current summary, how the trend is calculated, or what response shape to expect. This leaves important behavioral details undisclosed.

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?

The description is a single, efficient sentence that front-loads the verb and resource. It contains no fluff, though the vague 'by period' phrase reduces clarity slightly.

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?

With no output schema and no annotations, the description should clarify the return format and the meaning of 'period.' It also does not help an agent distinguish this from similar analyst-related tools. Key contextual information is missing.

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 description coverage is 100%, and the symbol parameter is already documented as 'Ticker, e.g. NVDA.' The description adds no new parameter meaning and even creates ambiguity by mentioning 'by period' when no period parameter exists in the schema.

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 uses a specific verb and resource: 'Get analyst recommendation trend (strong buy/buy/hold/sell/strong sell) by period.' It identifies the data being retrieved, though 'by period' is ambiguous and it does not explicitly differentiate from nearby siblings like get_analyst_forecast or get_analyst_actions.

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 implied: an agent would call this when it needs analyst recommendation trend data. However, there is no explicit guidance about when to prefer this over alternatives such as get_analyst_forecast or get_analyst_actions, and no exclusions are provided.

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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