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Talon

talon_playbook

LP-season playbook: capture meme flow by providing concentrated liquidity on official stock/USDG pools instead of holding memes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses the playbook's strategic stance—preferring concentrated liquidity on official stock/USDG pools over holding memes—but it does not state whether the tool is purely informational, what output format to expect, or any side effects. The word 'playbook' softens this gap but does not fully close it.

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 a single, front-loaded sentence that clearly identifies the playbook's theme and strategy. Every phrase adds context, with no filler or redundancy.

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?

For a zero-parameter tool with no output schema, the description covers the essential selection context: LP season, meme-flow capture, and the specific pool strategy. It could be more explicit about what the tool outputs, but the resource and strategic positioning are sufficiently clear.

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, so there is no parameter meaning to clarify. The baseline for a zero-parameter tool is 4, and the description does not need to compensate for missing schema documentation.

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?

The description identifies a specific resource (LP-season playbook) and states the strategy it promotes: capturing meme flow via concentrated liquidity on official stock/USDG pools rather than holding memes. It is more informative than a bare restatement of the name, though it does not explicitly say what invoking the tool returns or performs.

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?

Usage context is implied through 'LP-season' and 'instead of holding memes,' suggesting when this playbook is relevant. However, it names no sibling tools or explicit conditions for choosing this over alternatives like talon_lp, talon_pool, or talon_stock.

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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