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generate_research_report

Answer an OPEN-ENDED or THEMATIC research QUESTION (extensible, multi-section).

===> THE RIGHT TOOL when the user's intent is a QUESTION rather than a request for an
existing report — an exploratory or thesis-style ask about a ticker, or a market-wide
theme not tied to one company (e.g. "Are large caps driving earnings season?",
"What's the bull/bear case on NVDA?", "high-growth semis with rising estimates").
For a plain "get me the latest report/research on <ticker>", use `get_latest_report`
instead. This is the slow, professional DEEP-DIVE — reach for it only when the user
EXPLICITLY asks for a full writeup, not for an ordinary exploratory question.

If the user only wants to EXPLORE the data or "use Flexreport to explore...", do NOT
start here — call `explore_data_catalogue` first (interactive charts/tables, usually a
few minutes rather than ~10-12) and
reach for THIS deep-dive only later, once the user has reviewed the exploration and
EXPLICITLY asks for the full report. Never run both for the same question at once.

Rate-limited to 20/hour per user server-side.

Asynchronous: returns {"task_id": "...", "status": "PENDING"}. Poll with
`get_task_status` until SUCCESS, then read its `result`.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe research question in natural language, e.g. "high-growth semis with rising estimates".
deliveryNoDelivery channel for the finished report, e.g. "email" or "dashboard".email

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYesTask state at dispatch, normally "PENDING".
task_idYesCelery task id; poll it with get_task_status until SUCCESS.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=false and destructiveHint=false; the description adds substantial context the annotations do not: a server-side rate limit of 20/hour per user, asynchronous execution semantics, the exact return shape ({"task_id", "status": "PENDING"}), and the polling workflow via `get_task_status`. It also warns this is the slow (~10-12 min) professional deep-dive. No annotation contradiction.

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 a clear '===> THE RIGHT TOOL' marker and logically ordered routing rules. It is longer than needed: the 'EXPLICITLY asks for the full report' constraint is stated twice and the options are spread across several paragraph fragments.

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

Completeness5/5

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

For a rate-limited, asynchronous, multi-minute job with an output schema present, the description supplies everything an agent needs: routing against three siblings, throttling, async return contract, and the polling follow-up. Since an output schema exists, it correctly avoids explaining the final report's contents.

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%, so both `query` and `delivery` are already documented by the schema, establishing the baseline of 3. The description reinforces `query` semantics via inline examples but says nothing about `delivery` channels or the delivery effect, so it does not exceed the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (generate) and resource (research report) with clear scope: open-ended or thematic questions, extensible, multi-section. It explicitly contrasts itself with `get_latest_report` and `explore_data_catalogue`, so an agent can distinguish it from siblings without opening a schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use ('intent is a QUESTION rather than a request for an existing report'), when-not-to-use (plain 'get me the latest report' → `get_latest_report`; exploration → `explore_data_catalogue` first), and sequencing rules ('never run both for the same question at once', 'reach for THIS deep-dive only later'). Nothing is left to inference.

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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