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talon_desk

High-conviction book. New pools first (minutes old, live LP, no twitter name required), then a named first hold on this contract. Qualify on the fill, not the live cap — stays up for six hours even after it runs. Famous desks still count when that fill is under $400k. Coins sitting $25k–$200k for 12h+ with live LP stay until they leave the band. Old coins with the same ticker stay off. No fill size. No exit. Does not sign.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does mention some traits ('stays up for six hours', 'No fill size. No exit. Does not sign.'), but these are presented without context of the primary action. The lack of a stated fundamental behavior makes these details confusing, so transparency is incomplete.

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

Conciseness3/5

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

The description is a single dense paragraph of rules, not concise or well-structured. It front-loads 'High-conviction book' but then piles on a stream of conditions without clear organization. While each sentence conveys some detail, the lack of structure makes it harder to parse, though it is not excessively long.

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?

For a tool with no input schema, no output schema, and no annotations, the description must fully explain what the tool does and what it returns. It does neither—it only lists selection criteria. The agent cannot infer the tool's purpose or output format, so the description is incomplete.

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 an empty schema, so the baseline is 4. The description correctly does not attempt to explain nonexistent parameters; there is nothing for it to add.

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

Purpose2/5

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

The description does not state a clear verb or action—it reads as a set of criteria for a 'high-conviction book' rather than explaining what the tool does (e.g., list, filter, monitor). It is not a tautology but is vague about the core functionality, making it hard for an agent to know what invoking this tool returns or triggers.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus its many siblings. The description contains conditions (e.g., 'Famous desks still count when that fill is under $400k') but these are behavioral rules, not usage advice. There is no mention of alternatives or explicit when-to/when-not-to use scenarios.

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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