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GammaRips Options Intelligence

Daily Report

get_daily_report
Read-onlyIdempotent
The daily intelligence report. Two `view`s:

  * view="report" (DEFAULT) — the full report (title, markdown content,
    scan_date) for `date`, or the most recent report if `date` is omitted.
  * view="list" — recent reports, most recent first (scan_date, title,
    created_at), titles deduped. Use `limit`.

Args:
    date: report date YYYY-MM-DD (report view; default: most recent).
    view: "report" (default) | "list".
    limit: list view — how many reports (default 10, clamped 1-30).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
viewNoreport
limitNo

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare the tool read-only, idempotent, and non-destructive. The description adds valuable behavioral detail beyond that: defaulting to the most recent report when date is omitted, deduplicating titles in list view, and clamping limit between 1 and 30. It also describes the fields included in each view, which is useful context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, well-structured, and front-loaded with the two main views. The bullet-style view explanations and short Args section convey a lot of information without wasted words or redundancy.

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?

Given the absence of an output schema, the description adequately explains both the input parameters and the expected return fields for each view. The annotations cover safety and idempotency, and the description covers behavior, defaults, and constraints, so an agent has a complete picture for using this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description fully compensates by explaining the meaning, format, defaults, and valid values for all three parameters: date uses YYYY-MM-DD, view accepts 'report' or 'list', and limit is clamped to 1-30. This gives the agent everything needed to construct correct calls.

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?

The description clearly states the tool provides 'the daily intelligence report' and enumerates two distinct views, 'report' and 'list'. It names the resource, the action, and the available retrieval modes, making it easy for an agent to understand what this tool does and to distinguish it from sibling tools.

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?

The description gives clear internal guidance on when to use 'report' vs 'list' and explains defaults and the limit parameter. However, it does not explicitly contrast this tool with sibling tools like get_playbook or get_signal, nor does it state when this tool should be avoided.

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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TDQS

A4.7/5.0
Disambiguation5/5

Each tool owns a clearly distinct surface: reports, liquidity, market calendar, methodology, pool data, regime context, per-ticker signals, outcome research, and raw price replay. Even the closest neighbors (get_pool, get_signal, get_daily_report) are separated by pool-wide versus single-ticker versus report granularity, and the view parameters remove ambiguity.

Naming Consistency4/5

Seven tools follow a consistent get_<noun> pattern, while query_outcomes and replay_contract deviate with a different verb style. All names are snake_case and predictable, so this is a minor inconsistency rather than chaotic naming.

Tool Count5/5

Nine tools is well within the ideal range for an intelligence and research server. Each tool earns its place, covering a distinct part of the workflow without bloat or thinness.

Completeness5/5

The toolset covers the full research workflow: market/reference context, methodology, candidate pool, live liquidity, per-ticker signals, regime context, outcome research, and raw price replay for custom exit rules. There are no obvious dead ends or missing lifecycle steps for the server's stated purpose.