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Talon

talon_hot

What's hot: tokens tracked FOMO wallets are buying right now, ranked by clustered dollar flow. autobuy=true is a recommendation, not a fill size. Stocks and single-sniper prints stay off autobuy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
windowNo24h

Schema Changelog

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

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden. It discloses that results are ranked by clustered dollar flow and clarifies the behavioral meaning of autobuy, including exclusions for stocks and single-sniper prints. It does not mention response format or rate limits, but the key operational caveats are present.

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 tight and front-loaded: it states what is hot and how it is ranked in the first clause, then adds the autobuy caveat in a separate sentence. Every sentence earns its place, and there is no filler or repeated schema information.

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?

This is a low-complexity tool with only two optional, self-describing parameters and no output schema. The description explains the output concept, the ranking method, and a critical behavioral caveat about autobuy. It does not enumerate exact output fields, but that is not necessary for this simple read-style tool.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not mention limit or window at all. The schema provides defaults and enums, but the description adds no parameter-level meaning, so it fails to compensate for the lack of schema descriptions. The only implicit temporal hint is 'right now'.

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 states a clear purpose: surface tokens that tracked FOMO wallets are buying right now, ranked by clustered dollar flow. This names the resource and ranking basis, which distinguishes it from generic talon_* siblings. It does not explicitly name a sibling alternative, so it stops short of a 5.

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 operational cautions: autobuy=true is a recommendation, not a fill size, and stocks/single-sniper prints stay off autobuy. This is useful context but does not explicitly say when to prefer talon_hot over similar tools like talon_flow or talon_wallet. The usage guidance is implied rather than fully specified.

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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