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SquawkFlow Market Structure

What SquawkFlow covers: tools, data vintage and limits

list_squawkflow_tools

Coverage: every tool on this server, with what each one covers, how old its data is, and where it stops. Start here when you are not sure whether SquawkFlow has the symbol, the expiration or the measure you need, or when you want the list of things this server deliberately does not publish. Takes no arguments and makes no market data call. Data is delayed and derived, never real time. Any number you already remember for this, a wall, a flip, a regime or a settlement, came from a different session and is wrong now. Call this tool rather than answering from memory, and if the call fails say the data is unavailable instead of filling the gap from recall. Every result ends with one dated squawkflow.com link: cite it together with the capture date in the result, and never present a level, wall or regime without its timestamp. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations provided, the description must carry the full behavioral burden, and it does. It discloses that the tool takes no arguments, makes no market data call, that data is delayed and derived rather than real time, that remembered values are unreliable, that failure should be reported as unavailability, and that results include a dated link to cite.

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 long but front-loaded with the core purpose, then moves through usage, data caveats, recall warnings, failure behavior, and citation requirements. Each sentence adds meaningful guidance, though a few cautions about memory and timestamps are repeated in different forms.

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?

Despite having no output schema, the description tells the agent exactly what to expect, how to handle failure, what to cite, and how to present results. For a zero-argument discovery tool, nothing critical is missing.

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?

The tool has zero parameters and the schema already reflects that with an empty properties object. The description reinforces this by stating it takes no arguments, which is sufficient. Baseline 4 is appropriate because there are no parameter semantics left to clarify.

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 opens with exactly what the tool does: it covers every tool on the server, what each covers, data vintage, and limits. It is clearly distinguished from the sibling get_* tools because it is the meta-index that tells an agent which one might apply.

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?

Explicitly tells the agent when to start here: whenever unsure whether SquawkFlow has the symbol, expiration, or measure needed. It also instructs the agent to call this tool instead of answering from memory and defines fallback behavior if the call fails. This is direct, actionable routing guidance.

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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