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AI multi-analyst research briefing (HEADLINE)

research
Read-only

Full briefing, bull case, bear case, valuation, investment plan and fair-value range as one structured JSON document. 3 credits ($3.00) per successful call, ai_research quota 50/day. Returns the latest completed briefing for the ticker — the same one its public company page shows; a fresh run cannot be started through the API yet (404 when none exists). Never keyless, not in the sandbox. (GET https://app.deepvalues.ai/api/v1/research/{ticker} — 3 credits per call; needs a connected account or a dv_sk_ key)

Input Schema

NameRequiredDescriptionDefault
tickerYes
languageNoEnglish

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior5/5

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

Annotations already mark readOnlyHint=true and openWorldHint=true, and the description adds substantial context beyond them: 3 credits per successful call, a 50/day ai_research quota, auth requirements, sandbox exclusion, latest-completed-only semantics, and 404 behavior. It explicitly says a fresh run cannot be started through the API, which prevents misuse.

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-loads the returned briefing contents in the first sentence, then packs cost, quota, and lifecycle constraints into the second. The parenthetical repeats credits and auth already stated, but overall it remains compact for a complex, high-stakes call.

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 does enough by enumerating the JSON briefing's sections and explaining freshness, 404 behavior, cost, quota, and auth constraints. The missing language parameter explanation keeps it from being fully complete for a two-parameter tool.

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%, so the description must compensate for both parameters. It only implies ticker through the URL and 'for the ticker', with no format details, and never mentions the language enum or default.

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 resource and output: a full research briefing with named sections, and says it returns the latest completed briefing for a ticker. It distinguishes this from starting a fresh run and from the public company page, but does not contrast it with sibling tools such as company_overview or intrinsic_value.

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?

Gives prerequisites (connected account or dv_sk_ key, not keyless, not sandbox), cost, quota, and the 404 condition when no briefing exists, which tells the agent when the call will fail. However, it never names alternatives for related information, so routing guidance is only implicit.

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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